Carlos M. Fonseca

Carlos M. Fonseca's AcademicInfluence.com Rankings

Carlos M. Fonseca

Computer Science

#8536

World Rank

#8973

Historical Rank

Computational Linguistics

#1920

World Rank

#1940

Historical Rank

Machine Learning

#3518

World Rank

#3561

Historical Rank

Artificial Intelligence

#3826

World Rank

#3881

Historical Rank

computer-science Degrees

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Computer Science

Carlos M. Fonseca's Degrees

PhD Computer Science Stanford University
Masters Computer Science University of California, Berkeley

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Carlos M. Fonseca'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

Performance assessment of multiobjective optimizers: an analysis and review (2003) (3623)
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization (1993) (2832)
GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION (1993) (2813)
An Overview of Evolutionary Algorithms in Multiobjective Optimization (1995) (2497)
Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation (1998) (1195)
Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example (1998) (632)
On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers (1996) (449)
An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator (2006) (436)
Multiobjective genetic algorithms made easy: selection sharing and mating restriction (1995) (302)
On the Complexity of Computing the Hypervolume Indicator (2009) (287)
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function (2001) (236)
Multiobjective genetic algorithms with application to control engineering problems. (1995) (226)
Multiobjective genetic algorithms (1993) (203)
Evolutionary Multi-Criterion Optimization (2003) (165)
Genetic Algorithms in Control Systems Engineering (1993) (129)
Why Quality Assessment Of Multiobjective Optimizers Is Difficult (2002) (125)
'Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming (2004) (113)
GENETIC ALGORITHM TOOLS FOR CONTROL SYSTEMS ENGINEERING (1994) (90)
Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function (2005) (84)
Performance assessment of multiobjective optimizers (2002) (73)
On the Computation of the Empirical Attainment Function (2011) (69)
Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms (2016) (68)
A Study of Examination Timetabling with Multiobjective Evolutionary Algorithms (2001) (65)
Multi-objective evolutionary algorithm for land-use management problem (2007) (65)
Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results (2011) (64)
A Box Decomposition Algorithm to Compute the Hypervolume Indicator (2015) (63)
Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization (2003) (63)
Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem (1999) (60)
Nonlinear identification of aircraft gas-turbine dynamics (2003) (60)
Methodology to select solutions from the pareto-optimal set: a comparative study (2007) (59)
A Multicriteria Generalization of Bayesian Global Optimization (2016) (57)
Multiobjective Genetic Programming: A Nonlinear System Identification Application (1997) (50)
Multiobjective optimal controller design with genetic algorithms (1994) (49)
Power distribution network expansion scheduling using dynamic programming genetic algorithm (2008) (46)
Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters (2010) (45)
Greedy Hypervolume Subset Selection in Low Dimensions (2016) (45)
Non-Linear System Identification with Multiobjective Genetic Algorithms (1996) (43)
Nonlinear Network Optimization—An Embedding Vector Space Approach (2010) (43)
On the Generalization Ability of Geometric Semantic Genetic Programming (2015) (42)
Computing and Updating Hypervolume Contributions in Up to Four Dimensions (2018) (35)
A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions (2012) (35)
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time (2017) (33)
Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction (2003) (33)
A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms (2014) (32)
An overview of nonlinear identification and control with neural networks. (2005) (32)
The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison (2010) (32)
On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem (2014) (30)
Representation of the non-dominated set in biobjective discrete optimization (2015) (29)
EVOLUTIONARY MULTIOBJECTIVE DESIGN OF RADIAL BASIS FUNCTION NETWORKS FOR GREENHOUSE ENVIRONMENTAL CONTROL (2005) (29)
Genetic algorithms in control systems engineering: a brief introduction (1993) (28)
A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems (2008) (28)
Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem (2007) (27)
Evolutionary Multi-Objective Robust Optimization (2008) (27)
A preliminary comparison of tree encoding schemes for evolutionary algorithms (2007) (23)
Evolutionary Multi-Criterion Optimization (2019) (22)
Adaptive active vibration control using genetic algorithms (1995) (20)
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study (2008) (20)
Solving Class Timetabling Problem of IIT Kanpur using Multi-Objective Evolutionary Algorithm (20)
Parallel Problem Solving from Nature – PPSN XV (2018) (19)
Developing redundant binary representations for genetic search (2005) (18)
The Hypervolume Indicator (2020) (18)
Easy to say they are Hard, but Hard to see they are Easy— Towards a Categorization of Tractable Multiobjective Combinatorial Optimization Problems (2017) (18)
Greedy Hypervolume Subset Selection in the Three-Objective Case (2015) (16)
Multi-objective Evolutionary Algorithms for Resource Allocation Problems (2007) (15)
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming (2015) (14)
Accelerating multi-objective control system design using a neuro-genetic approach (2000) (14)
Unsure when to stop?: ask your semantic neighbors (2017) (13)
Bi-objective Combined Facility Location and Network Design (2007) (13)
On Optimization and Extreme Value Theory (2003) (13)
An analysis of the Hypervolume Sharpe-Ratio Indicator (2020) (12)
Bacterial Memetic Algorithm for Fuzzy Rule Base Optimization (2006) (12)
Single and multi-objective genetic programming design for B-spline neural networks and neuro-fuzzy systems (2001) (12)
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach (2016) (12)
Evolutionary multi-criterion optimization : Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003 : proceedings (2003) (11)
An Evolutionary Approach to Non-Linear Polynomial System Identification (1997) (10)
Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results (2016) (10)
Methodology to select solutions for multiobjective optimization problems: Weighted stress function method (2017) (8)
Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings (2009) (8)
On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem (2020) (7)
The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators (2011) (7)
Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization (2009) (7)
Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success (2016) (6)
How redundancy and neutrality may affect evolution on NK fitness landscapes (2007) (6)
Multi-Objective Optimization : Hybridization of an Evolutionary Algorithm with Artificial Neural Networks for fast Convergence (2004) (6)
A link between the multivariate cumulative distribution function and the hitting function for random closed sets (2002) (6)
Neuro-genetic PID autotuning (2001) (5)
Evolutionary multi-criterion optimization : 7th international conference, EMO 2013, Sheffield, UK, March 19-22, 2013 : proceedings (2013) (5)
Selection of solutions in a multi-objective environment: polymer extrusion a case study (2007) (4)
Preference Articulation in Evolutionary Multiobjective Optimisation (2007) (4)
Representation of the non-dominated set in biobjective combinatorial optimization (2014) (4)
On the roles of redundancy and neutrality in evolutionary optimization: an experimental study (2007) (4)
A Multi-Quantile Approach for Open-Loop Stochastic Dynamic Programming Problems (2009) (3)
A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems (2015) (3)
Decision Making in Evolutionary Optimization (Abstract of Invited Talk) (2007) (3)
A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems (2016) (2)
The Bicriterion Maximum Flow Network Interdiction Problem in s-t-Planar Graphs (2019) (2)
Parallel Problem Solving from Nature – PPSN XV (2018) (2)
An Open-Loop Invariant-Set Approach for Multiobjective Dynamic Programming Problems (2009) (2)
Energy‐efficient multigroup communication (2018) (2)
Design of a wide envelope controller for a STOVL gas turbine engine (1999) (2)
Geometric Crossover in Syntactic Space (2018) (2)
A New Methodology to Select the Preferred Solutions from the Pareto-optimal Set: Application to Polymer Extrusion (2007) (2)
On the Bicriterion Maximum Flow Network Interdiction Problem (2020) (2)
Artificial Evolution (2011) (1)
09041 Working Group on EMO for Interactive Multiobjective Optimization (1st Round) (2009) (1)
A Compressive Receding Horizon Approach for Smart Home Energy Management (2021) (1)
EXTENDING OPTIMIZATION ALGORITHMS TO COMPLEX ENGINEERING PROBLEMS (2011) (1)
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081) (2022) (1)
A unified model of optimisation problems (2007) (1)
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation (2020) (0)
Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431) (2019) (0)
Experimental evaluation of some preference parametrization schemes (2011) (0)
MATLAB: Its Toolboxes and Open Structure (2020) (0)
Training neuro-fuzzy models using evolution based algorithms (2006) (0)
BACTERIALMEMETIC ALGORITHM FOR FUZZYRULE BASE OPTIMIZATION (2006) (0)
On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem (2020) (0)
2 An Upper Bound with Klee ’ s Measure Problem (2009) (0)
Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031) (2020) (0)
Overview of PPSN 2018 (2018) (0)
Plots of the Empirical Attainment Function [R package eaf version 1.9-1] (2020) (0)
Scalability in Multiobjective Optimization (2020) (0)
EXTENDING OPTIMIZATION ALGORITHMS (2011) (0)
13 Evolutionary Multi-Objective Robust Optimization (2018) (0)
Multi-criteria Decision Making under Performance and Preference Uncertainty (2018) (0)
Tutorials at PPSN 2016 (2016) (0)
Theory of Randomized Optimization Heuristics (2017) (0)

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What Schools Are Affiliated With Carlos M. Fonseca?

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Carlos M. Fonseca's Academic­Influence.com Rankings

Carlos M. Fonseca's Degrees

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Why Is Carlos M. Fonseca Influential?

Carlos M. Fonseca's Published Works

Published Works

What Schools Are Affiliated With Carlos M. Fonseca?

Carlos M. Fonseca's AcademicInfluence.com Rankings