Qingfu Zhang

Q: What Schools Are Affiliated With Qingfu Zhang

Qingfu Zhang is affiliated with the following schools: California Institute of Technology, City University of Hong Kong, Stanford University

Qingfu Zhang's AcademicInfluence.com Rankings

Qingfu Zhang

Computer Science

#3452

World Rank

#3622

Historical Rank

Algorithms

#98

World Rank

#98

Historical Rank

Computational Linguistics

#180

World Rank

#184

Historical Rank

Machine Learning

#413

World Rank

#419

Historical Rank

computer-science Degrees

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Computer Science

Qingfu Zhang's Degrees

PhD Computer Science Stanford University

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Qingfu Zhang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (2007) (6166)
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (2009) (1932)
Multiobjective evolutionary algorithms: A survey of the state of the art (2011) (1828)
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters (2011) (1240)
Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition (2009) (918)
An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition (2015) (819)
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm (2008) (652)
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances (2009) (584)
Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems (2014) (570)
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model (2010) (504)
Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition (2014) (331)
DE/EDA: A new evolutionary algorithm for global optimization (2005) (320)
Distributed evolutionary algorithms and their models: A survey of the state-of-the-art (2015) (317)
A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems (2014) (307)
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization (2014) (299)
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization (2014) (286)
An orthogonal genetic algorithm for multimedia multicast routing (1999) (277)
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms (2013) (277)
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion (2006) (264)
MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony (2013) (255)
Enhancing the search ability of differential evolution through orthogonal crossover (2012) (246)
An evolutionary algorithm with guided mutation for the maximum clique problem (2005) (239)
On the convergence of a class of estimation of distribution algorithms (2004) (230)
Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes (2012) (219)
Community detection in networks by using multiobjective evolutionary algorithm with decomposition (2012) (204)
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization (2007) (199)
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods (2016) (197)
Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm (2009) (194)
Adaptive Replacement Strategies for MOEA/D (2016) (191)
An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization (2015) (170)
Interrelationship-Based Selection for Decomposition Multiobjective Optimization (2015) (164)
A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks (2010) (138)
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms (2016) (133)
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems (2017) (131)
Pareto Multi-Task Learning (2019) (129)
Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm (2016) (129)
On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization (2018) (126)
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results (2017) (126)
A Survey on Cooperative Co-Evolutionary Algorithms (2019) (121)
Biased Multiobjective Optimization and Decomposition Algorithm (2017) (120)
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties (2019) (108)
Hybrid estimation of distribution algorithm for global optimization (2004) (105)
A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems (2016) (104)
Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems (2018) (103)
Hybridization of Decomposition and Local Search for Multiobjective Optimization (2014) (99)
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization (2017) (97)
Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization (2017) (97)
MOEA/D with NBI-style Tchebycheff approach for portfolio management (2010) (96)
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times (2019) (94)
A Self-Organizing Multiobjective Evolutionary Algorithm (2016) (93)
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization (2019) (89)
MOEA/D for flowshop scheduling problems (2008) (87)
On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm (2004) (86)
A model-based evolutionary algorithm for bi-objective optimization (2005) (83)
Global path planning of wheeled robots using multi-objective memetic algorithms (2015) (83)
A decomposition-based multi-objective Particle Swarm Optimization algorithm for continuous optimization problems (2008) (83)
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization (2009) (82)
MOEA/D for constrained multiobjective optimization: Some preliminary experimental results (2010) (81)
Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Salesman Problem (2009) (79)
A class of learning algorithms for principal component analysis and minor component analysis (2000) (78)
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization (2016) (77)
Interactive MOEA/D for multi-objective decision making (2011) (77)
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition (2017) (75)
A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows (2019) (74)
A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization (2015) (74)
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition (2019) (72)
A Self-guided Genetic Algorithm for permutation flowshop scheduling problems (2012) (71)
Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem (2004) (70)
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit (2016) (68)
On the use of two reference points in decomposition based multiobjective evolutionary algorithms (2017) (67)
A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages (2006) (61)
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods (2015) (59)
A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization (2018) (57)
Energy-aware topology control for wireless sensor networks using memetic algorithms (2007) (55)
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization (2018) (52)
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy (2020) (51)
An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks (2008) (50)
An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing (2010) (48)
A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization (2019) (47)
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression (2017) (47)
An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization (2013) (46)
Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems (2010) (46)
A multiobjective evolutionary algorithm based on decomposition and probability model (2012) (45)
A surrogate-assisted evolutionary algorithm for minimax optimization (2010) (45)
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes (2011) (42)
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries (2019) (41)
Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints (2007) (41)
Two-Level Stable Matching-Based Selection in MOEA/D (2015) (40)
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization (2018) (40)
A replacement strategy for balancing convergence and diversity in MOEA/D (2014) (40)
Regularity Model for Noisy Multiobjective Optimization (2016) (40)
On the discrete-time dynamics of a PCA learning algorithm (2003) (39)
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions (2021) (38)
A new learning-based adaptive multi-objective evolutionary algorithm (2019) (38)
MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems (2014) (37)
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm (2008) (36)
Identification of multi-resolution network structures with multi-objective immune algorithm (2013) (36)
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D (2010) (36)
Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem (2006) (35)
Combination of Guided Local Search and Estimation of Distribution Algorithm for Quadratic Assignment Problems (2006) (34)
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization (2018) (34)
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization (2020) (34)
Balancing exploration and exploitation in multiobjective evolutionary optimization (2018) (33)
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results (2010) (33)
An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation (2013) (32)
Distribution of Computational Effort in Parallel MOEA/D (2011) (32)
Evolution strategies for continuous optimization: A survey of the state-of-the-art (2020) (32)
An evolutionary many-objective optimisation algorithm with adaptive region decomposition (2016) (32)
Multiobjective Memetic Algorithms (2012) (32)
A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction (2017) (31)
Multipopulation evolution framework for multifactorial optimization (2018) (31)
An Effective Ensemble Framework for Multiobjective Optimization (2019) (30)
Combinations of estimation of distribution algorithms and other techniques (2007) (30)
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem (2007) (30)
Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors (2017) (30)
Iterated Local Search with Guided Mutation (2006) (30)
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification (2021) (29)
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms (2016) (28)
On the use of random weights in MOEA/D (2015) (28)
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate (2019) (28)
Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems (2016) (28)
A decomposition based multiobjective evolutionary algorithm with classification (2016) (27)
MOEA/D-DRA with two crossover operators (2010) (27)
Evolutionary multiobjective optimization with hybrid selection principles (2015) (26)
Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm (2019) (25)
Controllable Pareto Multi-Task Learning (2020) (24)
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm (2009) (24)
On the limits of effectiveness in estimation of distribution algorithms (2011) (24)
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization (2019) (24)
Machine learning based decision support for many-objective optimization problems (2014) (23)
Enhanced particle swarm optimization based on principal component analysis and line search (2014) (23)
On the convergence of a factorized distribution algorithm with truncation selection (2004) (22)
MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems (2012) (22)
Efficient Non-domination Level Update Approach for Steady-State Evolutionary Multiobjective Optimization (2014) (22)
On the Performance of Metamodel Assisted MOEA/D (2007) (21)
PPLS/D: Parallel Pareto Local Search Based on Decomposition (2017) (21)
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation (2020) (21)
Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy (2014) (20)
Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives (2017) (19)
Behavioral study of the surrogate model-aware evolutionary search framework (2014) (19)
Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem (2014) (19)
Building Change Detection for VHR Remote Sensing Images via Local–Global Pyramid Network and Cross-Task Transfer Learning Strategy (2022) (19)
Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution (2021) (19)
Graph Neural Network Encoding for Community Detection in Attribute Networks (2020) (18)
Energy function for the one-unit Oja algorithm (1995) (18)
Improving geodesic distance estimation based on locally linear assumption (2008) (18)
The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization (2019) (18)
Fitness Modeling With Markov Networks (2013) (18)
A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks (2014) (17)
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors (2017) (17)
Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales (2015) (16)
A multi-phase multiobjective approach based on decomposition for sparse reconstruction (2016) (16)
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm (2021) (16)
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover (2007) (16)
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization (2021) (15)
Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms (2015) (15)
A Three-Level Radial Basis Function Method for Expensive Optimization (2021) (15)
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design (2006) (14)
A Guided Memetic Algorithm with Probabilistic Models (2009) (14)
A Simple yet Efficient Multiobjective Combinatorial Optimization Method Using Decomposition and Pareto Local Search (2012) (14)
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work (2015) (14)
Multiobjective Combinatorial Optimization by Using Decomposition and Ant Colony (2012) (13)
Decomposition multi-objective optimisation: current developments and future opportunities (2018) (13)
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition (2021) (13)
Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization (2019) (13)
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm (2019) (12)
Population optimization algorithm based on ICA (2000) (12)
A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks (2015) (11)
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping (2006) (11)
MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands (2019) (11)
Population-Based Guided Local Search: Some preliminary experimental results (2010) (11)
An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path (2017) (11)
MOEA/D with guided local search: Some preliminary experimental results (2013) (11)
Combination of EDA and DE for continuous biobjective optimization (2008) (11)
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D (2020) (11)
Multi-objective Optimization of Barrier Coverage with Wireless Sensors (2015) (11)
Maximum Entropy Subspace Clustering Network (2020) (11)
A self-guided genetic algorithm for flowshop scheduling problems (2009) (10)
Approximation Model Guided Selection for Evolutionary Multiobjective Optimization (2013) (10)
Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63] (2008) (10)
CSM-416 A survey of AI-based meta-heuristics for dealing with local optima in local search (2004) (10)
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation (2014) (10)
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization (2022) (10)
Evolutionary Competitive Multitasking Optimization (2022) (10)
EB-GLS: an improved guided local search based on the big valley structure (2017) (9)
A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks (2009) (9)
Outage performance of MIMO relay channels with maximal ratio transmission (2009) (9)
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization (2020) (9)
Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume (2020) (9)
Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models (2009) (9)
A simplified ICA based denoising method (2000) (9)
A surrogate-model-assisted evolutionary algorithm for computationally expensive design optimization problems with inequality constraints (2016) (9)
Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms (2012) (9)
Imbalance-aware Pairwise Constraint Propagation (2019) (9)
Spatio-temporal data evolutionary clustering based on MOEA/D (2011) (8)
Network Topology Planning Using MOEA/D with Objective-Guided Operators (2012) (8)
A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics (2017) (8)
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images (2021) (8)
Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems (2017) (8)
Clustering Ensemble Meets Low-rank Tensor Approximation (2020) (8)
A new replica placement strategy based on multi-objective optimisation for HDFS (2020) (8)
A Penalty-Based Differential Evolution for Multimodal Optimization (2021) (7)
Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D (2019) (7)
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning (2021) (7)
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms (2008) (7)
Self-Guided Genetic Algorithm (2008) (7)
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer (2023) (7)
Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization (2009) (7)
Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification (2021) (7)
Efficient Non-domination Level Update Method for Steady-State Evolutionary Multi-objective Optimization (2015) (6)
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization (2022) (6)
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm (2018) (6)
Using Parallel Strategies to Speed up Pareto Local Search (2017) (6)
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization (2021) (6)
A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables (2016) (6)
Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions (2019) (6)
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms (2020) (6)
Improved multi-objective ant colony optimization algorithm and its application in complex reasoning (2013) (6)
MOEA/D with Two Types of Weight Vectors for Handling Constraints (2019) (6)
Multi-objective Local Search Based on Decomposition (2016) (6)
Adaptive modelling strategy for continuous multi-objective optimization (2007) (5)
Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks (2009) (5)
To understand one-dimensional continuous fitness landscapes by drift analysis (2004) (5)
Convergence of a Hebbian-type learning algorithm (1998) (5)
Wiggly Parallel-Coupled Line Design by Using Multiobjective Evolutionay Algorithm (2018) (5)
Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition (2020) (5)
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild (2021) (5)
Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection (2021) (4)
An Interval-based Multiobjective Approach to Feature Subset Selection Using Joint Modeling of Objectives and Variables (2012) (4)
P-GLS-II: an enhanced version of the population-based guided local search (2011) (4)
Modelling the Regularity in an Estimation of Distribution Algorithm for Continuous Multiobjective Optimization with Variable Linkages (2006) (4)
Self-Supervised Symmetric Nonnegative Matrix Factorization (2021) (4)
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization (2022) (4)
Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search (2018) (4)
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization (2016) (4)
Electromagnetic-Thermal Coupling Simulation by ANSYS Multiphysics of Induction Heater (2014) (4)
A class of learning algorithms for principal component analysis and minor component analysis (2000) (4)
Nonlinear Collaborative Scheme for Deep Neural Networks (2018) (4)
A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows (2014) (4)
What Does the Evolution Path Learn in CMA-ES? (2016) (4)
MOEA/D for traffic grooming in WDM optical networks (2013) (4)
Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery (2021) (4)
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis (2020) (4)
Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling (2009) (4)
MOEA/D with chain-based random local search for sparse optimization (2018) (3)
Adaptive patch-based sparsity estimation for image via MOEA/D (2016) (3)
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering (2023) (3)
An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition (2017) (3)
Accelerate the optimization of large-scale manufacturing planning using game theory (2021) (3)
A cone order sequence based multi-objective evolutionary algorithm (2016) (3)
Variable metric evolution strategies by mutation matrix adaptation (2020) (3)
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem (2019) (3)
Pareto Set Learning for Expensive Multi-Objective Optimization (2022) (2)
Learning Low-Rank Graph With Enhanced Supervision (2021) (2)
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning (2022) (2)
Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem (2019) (2)
A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem (2017) (2)
A Graph Theoretic Approach to Key Equivalence (2005) (2)
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms (2011) (2)
Black-box expensive multiobjective optimization with adaptive in-fill rules (2016) (2)
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images (2021) (2)
Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications (2022) (2)
Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems (2021) (2)
An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension (2019) (2)
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation (2017) (2)
On performance of decomposition-based MOEAs in noisy environment (2015) (2)
Bridging machine learning and evolutionary computation (2014) (2)
Two-level evolutionary approach to the survivable mesh-based transport network topological design (2010) (2)
An Evolutionary Approach for Survivable Network under SRLG Constraints (2009) (2)
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks (2022) (2)
A new evolutionary model based on family eugenics: the first results (1996) (2)
WSN19-5: Energy-aware Topology Control in Sensor Networks Using Modern Heuristics (2006) (1)
Decomposition multi-objective optimisation: current developments and future opportunities (2019) (1)
A set-oriented MOEA/D (2018) (1)
Using ACO in MOEA / D for Multiobjective Combinatorial Optimization (2010) (1)
To Understand Fitness Landscapes in Continuous Space by Using Drift Analysis (2004) (1)
Noisy Optimization by Evolution Strategies With Online Population Size Learning (2022) (1)
Design of Wideband Base Station Antenna by Involving Fragment-Type Structures on Dipole Arms (2022) (1)
Continuous variable entanglement measurement without phase-locking (2011) (1)
Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control (2021) (1)
Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review] (2010) (1)
Estimation of Distribution Algorithm Based on Mixture (2006) (1)
On the convergence of a factorized distribution algorithm with truncation selection: Research Articles (2004) (1)
An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization (2014) (1)
Approximation for combinatorial network optimisation using Tsallis entropy (2013) (1)
MOEA/D for Multiple Multi-objective Optimization (2021) (1)
MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization (2022) (1)
Knowledge Incorporation in Evolutionary Computation [Book Review] (2006) (1)
A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization (2017) (1)
On the Use of Dynamic Reference Points in HypE (2017) (1)
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D (2021) (1)
Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK (2018) (1)
Parallel pareto local search revisited: first experimental results on bi-objective UBQP (2018) (1)
Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box (2008) (1)
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods (2021) (1)
Multitask Feature Selection for Objective Reduction (2021) (1)
Enhancing the Exploration Ability of Differential Evolution through Orthogonal Crossover D Working Report (1)
Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm (2016) (1)
Recent developments in natural computation (2009) (1)
Dynamic system for solving complex eigenvalue problems (1997) (1)
Knowledge incorporation in Evolutionary Computation (2006) (0)
Acknowledgments to reviewers (2000) (0)
A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems (2020) (0)
CIS Workshops 2007 Preface (2007) (0)
ESSR: Evolving Sparse Sharing Representation for Multi-task Learning (2023) (0)
Ensemble-Learning-Based Multiobjective Optimization for Antenna Design (2023) (0)
Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning (2016) (0)
An E ffi cient Solution Strategy for Bilevel Multiobjective Optimization Problems Using Multiobjective Evolutionary Algorithms (2017) (0)
IGR Report for EPSRC Grant GR / R 64742 / 01 A Rigorous Investigation into Estimation of Distribution Algorithms (2003) (0)
A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space (2023) (0)
Energy-awareTopologyControlforWirelessSensorNetworksUsing MemeticAlgorithms (2006) (0)
Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World (2007) (0)
A Full-time-utilization Optimization Approach for Computational Nanobiosensing (2022) (0)
Neighborhood Information-Based Method for Multivariate Association Mining (2023) (0)
On Multiobjective Knapsack Problems with Multiple Decision Makers (2022) (0)
Bilevel Optimization via Collaborations among Lower-Level Optimization Tasks (2023) (0)
Continuous Encoding for Overlapping Community Detection in Attributed Network. (2022) (0)
L∞ -norm neural network model for TLS problems (1995) (0)
A New Steady-State MOEA/D for Sparse Optimization (2017) (0)
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization (2023) (0)
Decomposition multi-objective optimisation: current developments and future opportunities (2022) (0)
Local Search Move Strategies within MOEA/D (2016) (0)
Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. (2022) (0)
Special issue on The 17th Annual UK Workshop on Computational Intelligence (2018) (0)
MOEA/D with chain-based random local search for sparse optimization (2018) (0)
Corrigendum to "A new cooperative framework for parallel trajectory-based metaheuristics" [Applied Soft Computing 65 (2018) 374-386] (2018) (0)
A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization (2014) (0)
Dynamic In Vivo Computation for Learning-based Nanobiosensing in Time-varying Biological Landscapes (2022) (0)
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size (2021) (0)
Development of Eective Estimation of Distribution Algorithms for Scheduling Problems (2009) (0)
Simulated Evolution and Learning 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings (2017) (0)
Minimum Selection GSC in Independent (2005) (0)
Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem (2019) (0)
Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications (2020) (0)
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances (2023) (0)
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier] (2023) (0)
Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales (2014) (0)
Decomposition multi-objective optimisation: current developments and future opportunities (2021) (0)
Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective (2022) (0)
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis (2022) (0)
Novel Multi-Objectivization Approaches for the Sum-of-the-Parts Combinatorial Optimization Problems (2019) (0)
A New Heuristic for Disjoint Path Selection Under SRLG Constraints (2004) (0)
EB-GLS: an improved guided local search based on the big valley structure (2017) (0)
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables (2023) (0)
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition (2019) (0)
Adaptive Modeling Strategy for Continuous Multi-Objective Optimization (2007) (0)
Supplemental File of “ InterRelationship Based Selection for Decomposition Multiobjective Optimization (2014) (0)
A novel dynamic reference point model for preference-based evolutionary multiobjective optimization (2022) (0)
MEDACO : Solving Multiobjective Combinatorial Optimization with Evolution , Decomposition and Ant Colonies (2010) (0)
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization (2023) (0)
A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers (2022) (0)
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions (2023) (0)
Decomposition-based Lin-Kernighan Heuristic with Neighborhood Structure Transfer for Multi/Many-objective Traveling Salesman Problem (2022) (0)
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution (2023) (0)
Decomposition multi-objective optimisation: current developments and future opportunities (2020) (0)
Evolutionary Algorithm With Experimental Design Technique (0)
Improved multi-objective ant colony optimization algorithm and its application in complex reasoning (2013) (0)
Modal Analysis of Diamond Wire Cutting Machine's Bed (2014) (0)
Parallel Solvers on the GPU for Large-Scale Finite Element Equations (2014) (0)

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