Darrell Whitley
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Computer Science
Darrell Whitley's Degrees
- PhD Computer Science Michigan State University
- Masters Computer Science Michigan State University
- Bachelors Computer Science Michigan State University
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(Suggest an Edit or Addition)Darrell Whitley'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
- A genetic algorithm tutorial (1994) (3806)
- The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best (1989) (1449)
- Genetic algorithms and neural networks: optimizing connections and connectivity (1990) (769)
- Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator (1989) (742)
- Combinations of genetic algorithms and neural networks: a survey of the state of the art (1992) (636)
- Neural Networks for River Flow Prediction (1994) (498)
- An overview of evolutionary algorithms: practical issues and common pitfalls (2001) (455)
- Evaluating Evolutionary Algorithms (1996) (422)
- A Comparison of Genetic Sequencing Operators (1991) (418)
- Genitor: a different genetic algorithm (1988) (417)
- Serial and Parallel Genetic Algorithms as Function Optimizers (1993) (408)
- Lamarckian Evolution, The Baldwin Effect and Function Optimization (1994) (407)
- A comparison between cellular encoding and direct encoding for genetic neural networks (1996) (337)
- Fundamental Principles of Deception in Genetic Search (1990) (329)
- GENITOR II: a distributed genetic algorithm (1990) (326)
- The Island Model Genetic Algorithm: On Separability, Population Size and Convergence (2015) (294)
- Cellular Genetic Algorithms (1993) (283)
- Using neural networks in reliability prediction (1992) (272)
- Scheduling problems and traveling salesman: the genetic edge recombination (1989) (255)
- Optimizing Neural Networks Using FasterMore Accurate Genetic Search (1989) (245)
- Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect (1993) (245)
- Prediction of Software Reliability Using Connectionist Models (1992) (226)
- Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings (2006) (225)
- Optimization Using Distributed Genetic Algorithms (1990) (222)
- The Travelling Salesman and Sequence Scheduling: Quality Solutions using Genetic Edge Recombination (1990) (213)
- Optimal security hardening using multi-objective optimization on attack tree models of networks (2007) (198)
- Scheduling Space–Ground Communications for the Air Force Satellite Control Network (2004) (191)
- Building Better Test Functions (1995) (188)
- An Executable Model of a Simple Genetic Algorithm (1992) (186)
- The No Free Lunch and problem description length (2001) (177)
- Island Model genetic Algorithms and Linearly Separable Problems (1997) (152)
- The dispersion metric and the CMA evolution strategy (2006) (147)
- Delta Coding: An Iterative Search Strategy for Genetic Algorithms (1991) (146)
- Contrasting Structured and Random Permutation Flow-Shop Scheduling Problems: Search-Space Topology and Algorithm Performance (2002) (129)
- Evolution, Learning, and Instinct: 100 Years of the Baldwin Effect (1996) (125)
- Genetic Operators, the Fitness Landscape and the Traveling Salesman Problem (1992) (120)
- Problem difficulty for tabu search in job-shop scheduling (2003) (114)
- Genetic reinforcement learning for neurocontrol problems (1993) (103)
- Genetic Approach to Feature Selection for Ensemble Creation (1999) (99)
- Genetic Reinforcement Learning for Neurocontrol Problems (2004) (97)
- Test driving three 1995 genetic algorithms: New test functions and geometric matching (1995) (96)
- Optimal security hardening on attack tree models of networks: a cost-benefit analysis (2012) (91)
- Genetic Reinforcement Learning with Multilayer Neural Networks (1991) (89)
- In Parallel Problem Solving from Nature-PPSN III (1994) (84)
- Prediction of software reliability using neural networks (1991) (84)
- Transforming the search space with Gray coding (1994) (77)
- Unbiased tournament selection (2005) (75)
- The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt (1998) (72)
- A Comparison of Genetic Algorithms for the Static Job Shop Scheduling Problem (2000) (71)
- Occlusal variation in a rural Kentucky community. (1981) (71)
- Evolving cooperative strategies for UAV teams (2005) (71)
- A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover (2010) (70)
- Searching in the Presence of Noise (1996) (70)
- The Traveling Salesman and Sequence Scheduling : (1990) (69)
- Deconstructing Nowicki and Smutnicki's i-TSAB tabu search algorithm for the job-shop scheduling problem (2005) (69)
- Differential evolution and non-separability: using selective pressure to focus search (2007) (66)
- Tunneling between optima: partition crossover for the traveling salesman problem (2009) (66)
- Dataflow Parallelism in Genetic Algorithms (1992) (64)
- Algorithm Performance and Problem Structure for Flow-shop Scheduling (1999) (63)
- Complexity Theory and the No Free Lunch Theorem (2005) (63)
- AFSCN scheduling: How the problem and solution have evolved (2006) (63)
- Fast and accurate feature selection using hybrid genetic strategies (1999) (57)
- Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search (2002) (56)
- Changing Representations During Search: A Comparative Study of Delta Coding (1994) (55)
- Cellular Encoding Applied to Neurocontrol (1995) (54)
- Query m-Invariance: Preventing Query Disclosures in Continuous Location-Based Services (2010) (54)
- Partition Crossover for Pseudo-Boolean Optimization (2015) (53)
- A performance methodology for commercial servers (2000) (52)
- Properties of Gray and Binary Representations (2004) (52)
- A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms (1998) (52)
- Genetic Algorithms - A Survey of Models and Methods (2012) (52)
- Test Function Generators as Embedded Landscapes (1998) (49)
- The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes (1991) (49)
- Using Reproductive Evaluation to Improve Genetic Search and Heuristic Discovery (1987) (48)
- Messy Genetic Algorithms for Subset Feature Selection (1997) (48)
- PSO and multi-funnel landscapes: how cooperation might limit exploration (2006) (48)
- Leap Before You Look: An Effective Strategy in an Oversubscribed Scheduling Problem (2004) (46)
- Feature Selection Mechanisms for Ensemble Creation : A Genetic Search Perspective (2003) (45)
- Representation Issues in Neighborhood Search and Evolutionary Algorithms (1998) (45)
- Genetic reinforcement learning for neural networks (1991) (45)
- Optimizing small neural networks using a distributed genetic algorithm (1990) (44)
- Understanding Algorithm Performance on an Oversubscribed Scheduling Application (2006) (44)
- NK Hybrid Genetic Algorithm for Clustering (2018) (44)
- Revisiting the big valley search space structure in the TSP (2011) (44)
- Predicting Epistasis from Mathematical Models (1999) (44)
- Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search (2000) (43)
- A Hybrid Genetic Algorithm for the Quadratic Assignment Problem (2000) (43)
- The Impact of Global Structure on Search (2008) (43)
- Understanding elementary landscapes (2008) (43)
- Focused no free lunch theorems (2008) (41)
- Advanced Correlation Analysis of Operators for the Traveling Salesman Problem (1994) (39)
- A polynomial time computation of the exact correlation structure of k-satisfiability landscapes (2009) (39)
- Constant time steepest descent local search with lookahead for NK-landscapes and MAX-kSAT (2012) (39)
- Functions as Permutations: Regarding No Free Lunch, Walsh Analysis and Summary Statistics (2000) (39)
- The impact of approximate evaluation on the performance of search algorithms for warehouse scheduling (1999) (38)
- Staged hybrid genetic search for seismic data imaging (1994) (38)
- Modeling Simple Genetic Algorithms for Permutation Problems (1994) (38)
- Fitness Probability Distribution of Bit-Flip Mutation (2013) (38)
- Bit Representations with a Twist (1997) (36)
- Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT) (2016) (35)
- Genetic Algorithm Behavior in the MAXSAT Domain (1998) (35)
- Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search (2017) (34)
- A Methodology to Find the Elementary Landscape Decomposition of Combinatorial Optimization Problems (2011) (34)
- Efficient identification of improving moves in a ball for pseudo-boolean problems (2014) (34)
- The cellular development of neural networks: the interaction of learning and evolution (1993) (34)
- Empirical modeling and analysis of local search algorithms for the job-shop scheduling problem (2003) (34)
- Linking Search Space Structure, Run-Time Dynamics, and Problem Difficulty: A Step Toward Demystifying Tabu Search (2004) (33)
- Trading Places: How to Schedule More in a Multi-Resource Oversubscribed Scheduling Problem (2004) (33)
- Applying genetic algorithms to neural network learning (1989) (33)
- Genetic cascade learning for neural networks (1992) (32)
- Constructing subtle higher order mutants for Java and AspectJ programs (2013) (32)
- A Walsh Analysis of NK-Landscapes (1997) (32)
- Ruffled by Ridges: How Evolutionary Algorithms Can Fail (2004) (32)
- On the Optimal Selection of k in the k-Anonymity Problem (2008) (32)
- Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT (2013) (31)
- Representation, Search and Genetic Algorithms (1997) (30)
- Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic (2018) (29)
- Hyperplane Ranking in Simple Genetic Algorithms (1995) (29)
- A free lunch proof for Gray versus Binary encodings (1999) (29)
- Adaptive Appearance Model and Condensation Algorithm for Robust Face Tracking (2010) (29)
- Genetic Search for Feature Subset Selection: A Comparison Between CHC and GENESIS (1998) (28)
- Comparing search techniques for finding subtle higher order mutants (2014) (28)
- Optimizing on-demand data broadcast scheduling in pervasive environments (2008) (28)
- Initial performance comparisons for the delta coding algorithm (1994) (27)
- Generalized asymmetric partition crossover (GAPX) for the asymmetric TSP (2014) (27)
- A crossover operator for the k- anonymity problem (2006) (27)
- Sequence Scheduling With Genetic Algorithms (1992) (27)
- Polynomial Time Summary Statistics for a Generalization of MAXSAT (1999) (26)
- Generalization in feed forward neural networks (1991) (26)
- Modeling Hybrid Genetic Algorithms (1995) (26)
- Next Generation Genetic Algorithms: A User’s Guide and Tutorial (2018) (26)
- Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time (2012) (25)
- Remapping Hyperspace During Genetic Search: Canonical Delta Folding (1992) (25)
- Comparing Heuristic, Evolutionary and Local Search Approaches to Scheduling (1996) (23)
- Tunnelling Crossover Networks (2015) (23)
- The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration (2015) (23)
- A note on the performance of genetic algorithms on zero-one knapsack problems (1994) (23)
- International Workshop on Combinations of Genetic Algorithms and Neural Networks (1992) (22)
- HOMAJ: A Tool for Higher Order Mutation Testing in AspectJ and Java (2014) (22)
- Partial neighborhoods of elementary landscapes (2009) (21)
- Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse Benchmarks (2006) (20)
- Prediction of software reliability using feedforward and recurrent neural nets (1992) (20)
- Mk Landscapes, NK Landscapes, MAX-kSAT: A Proof that the Only Challenging Problems are Deceptive (2015) (20)
- Quad Search and Hybrid Genetic Algorithms (2003) (20)
- Dynamic power minimization during combinational circuit testing as a traveling salesman problem (2005) (20)
- A Machine-Independent Analysis of Parallel Genetic Algorithms (1994) (19)
- Use of explicit memory in the dynamic traveling salesman problem (2014) (19)
- Parallel Problem Solving from Nature – PPSN XV (2018) (19)
- Tunnelling Crossover Networks for the Asymmetric TSP (2016) (18)
- Calibration of liquid crystal ultrafast pulse shaper with common-path spectral interferometry and application to coherent control with a covariance matrix adaptation evolutionary strategy. (2008) (17)
- Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover (2017) (17)
- A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima (2019) (17)
- Cellular genetic algorithms as function optimizers: locality effects (1994) (17)
- A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming (2007) (17)
- The evolution of emergent computation in cellular automata (1998) (17)
- Local Search and High Precision Gray Codes: Convergence Results and Neighborhoods (2000) (16)
- Search, Binary Representations and Counting Optima (1999) (16)
- TSPmap, a tool making use of traveling salesperson problem solvers in the efficient and accurate construction of high-density genetic linkage maps (2017) (16)
- Improving an exact solver for the traveling salesman problem using partition crossover (2017) (16)
- Subtle higher order mutants (2017) (16)
- Examining the role of local optima and schema processing in genetic search (1999) (15)
- Testing, Evaluation and Performance of Optimization and Learning Systems (2002) (15)
- Directed Plateau Search for MAX-k-SAT (2010) (15)
- Facial height and breadth relative to dietary consistency and oral breathing in two populations (North India and U.S.). (1985) (14)
- Bio-ModelChecker: Using Bounded Constraint Satisfaction to Seamlessly Integrate Observed Behavior With Prior Knowledge of Biological Networks (2019) (14)
- Efficient retrieval of landscape Hessian: forced optimal covariance adaptive learning. (2014) (14)
- Nonlinearity, Hyperplane Ranking and the Simple Genetic Algorithm (1996) (13)
- High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology (2018) (13)
- Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis (2011) (13)
- Exact computation of the expectation surfaces for uniform crossover along with bit-flip mutation (2014) (13)
- Enhancing partition crossover with articulation points analysis (2018) (12)
- A Theoretical Analysis of the k-Satisfiability Search Space (2009) (12)
- A Genetic Algorithm for Scheduling with Resource Consumption (1993) (12)
- Second order partial derivatives for NK-landscapes (2013) (12)
- Motivation and framework for using genetic algorithms for microcode compaction (1990) (12)
- Hyperplane initialized local search for MAXSAT (2013) (12)
- Utility driven optimization of real time data broadcast schedules (2012) (12)
- GECCO-2000 : proceedings of the Genetic and Evolutionary Computation Conference : a joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000), July 10-12, 2000, Las Vegas, Nevada (2000) (11)
- An analysis of iterated local search for job-shop scheduling. (2003) (11)
- Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover (2018) (11)
- Exploration and Exploitation Without Mutation: Solving the Jump Function in \varTheta (n) Time (2018) (10)
- Elementary landscape decomposition of the frequency assignment problem (2011) (10)
- Deception, dominance and implicit parallelism in genetic search (1992) (10)
- Modeling Permutation En-codings in Simple Genetic Algorithm (1995) (10)
- Tracking primary hyperplane competitors during genetic search (1992) (10)
- k-Anonymization in the Presence of Publisher Preferences (2011) (10)
- Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP (2012) (10)
- Subthreshold-seeking local search (2006) (9)
- Computational Matter (2018) (9)
- A Dynamic Model of Tabu Search for the Job-Shop Scheduling Problem (2005) (9)
- On the Formation of Historically k-Anonymous Anonymity Sets in a Continuous LBS (2010) (9)
- Using genetic recombination to optimize neural networks (1989) (9)
- Elementary landscapes of frequency assignment problems (2010) (8)
- Comparing heuristic search methods and genetic algorithms for warehouse scheduling (1998) (8)
- Quasi-Optimal Recombination Operator (2019) (8)
- Noisy function evaluation and the delta-coding algorithm (1994) (8)
- Augmented geophysical data interpretation through automated velocity picking in semblance velocity images (2000) (8)
- Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs (2005) (8)
- Toward an Understanding of Local Search Cost in Job-Shop Scheduling (2014) (8)
- Staged hybrid genetic algorithm search for seismic data imaging: ICEC 1994 (1994) (7)
- Selecting Optimal Models Based on Efficiency and Robustness in Multi-valued Biological Networks (2017) (7)
- Security Provisioning in Pervasive Environments Using Multi-objective Optimization (2008) (7)
- Functions as Permutations: Implications for No Free Lunch, Walsh Analysis and Statistics (2000) (7)
- COGANN-92 : International Workshop on Combinations of Genetic Algorithms and Neural Networks, June 6, 1992 Baltimore, Maryland (1992) (7)
- Hyperplane ranking, nonlinearity and the simple genetic algorithm (2003) (7)
- Mixed Initiative Scheduling for the Air Force Satellite Control Network (1999) (7)
- Comparing heuristic search methods and genetic algorithms for warehouse scheduling (1998) (7)
- Genetic Operators, the Tness Landscape and the Traveling Salesman Problem (1992) (7)
- Searching for Balance: Understanding Self-adaptation on Ridge Functions (2006) (7)
- Using Adaptive Priority Weighting to Direct Search in Probabilistic Scheduling (2007) (6)
- A comparative study of genetic sequencing operators (1991) (6)
- Exploring privacy versus data quality trade-offs in anonymization techniques using multi-objective optimization (2011) (6)
- Next generation genetic algorithms (2017) (6)
- Matching horizon features using a Messy Genetic Algorithm (2000) (6)
- A New Evaluation Function for Clustering: The NK Internal Validation Criterion (2016) (6)
- Computation of Robust Minimal Intervention Sets in Multi-Valued Biological Regulatory Networks (2019) (6)
- A multi-objective approach to data sharing with privacy constraints and preference based objectives (2009) (6)
- Predicting Epistasis Directly from Mathematical Models (1999) (6)
- Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP (2006) (6)
- Looking for Shortcuts: Infeasible Search Analysis for Oversubscribed Scheduling Problems (2006) (6)
- Constant time Steepest Ascent Local Search with Statistical Lookahead for NK-Landscapes (2012) (5)
- COMPARISON OF EEG PREPROCESSING METHODS TO IMPROVE THE CLASSIFICATION OF P 300 TRIALS Submitted (2011) (5)
- Subthreshold-Seeking Behavior and Robust Local Search (2004) (5)
- Fitness Function Distributions over Generalized Search Neighborhoods in the q-ary Hypercube (2013) (5)
- Sharpened and Focused No Free Lunch and Complexity Theory (2014) (5)
- A Formal Language for Permutation Recombination Operators (1998) (5)
- Estimating Bounds on Expected Plateau Size in MAXSAT Problems (2009) (5)
- The massively parallel mixing genetic algorithm for the traveling salesman problem (2019) (5)
- Approximating the distribution of fitness over hamming regions (2011) (5)
- A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch (2011) (5)
- The component model for elementary landscapes and partial neighborhoods (2014) (4)
- Blind No More: Deterministic Partition Crossover and Deterministic Improving Moves (2016) (4)
- Partial neighborhoods of the traveling salesman problem (2011) (4)
- Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems (2016) (4)
- Motivation and framework for using genetic algorithms for microcode compaction (1991) (4)
- An Empirical Evaluation of O(1) Steepest Descent for NK-Landscapes (2012) (4)
- RANDOM WALKS AND NEIGHBORHOOD BIAS IN OVERSUBSCRIBED SCHEDULING (2005) (4)
- Quasi-elementary Landscapes and Superpositions of Elementary Landscapes (2012) (4)
- Evolutionary Computation Models (1997) (4)
- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization (2016) (4)
- Exact computation of the expectation curves for uniform crossover (2012) (4)
- Evolutionary Algorithms (1999) (4)
- Decomposing SAT Instances with Pseudo Backbones (2017) (4)
- Serial and parallel GAs as function optimizers (1993) (4)
- A Novel Appearance Model and Adaptive Condensation Algorithm for Human Face Tracking (2008) (3)
- Next generation genetic algorithms (2019) (3)
- Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem, (2014) (3)
- Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks (2022) (3)
- Evolution Strategies for Matching Active Appearance Models to Human Faces (2007) (3)
- On the comparison of microdata disclosure control algorithms (2009) (3)
- Genetic sparse distributed memory (1992) (3)
- An analysis of combinatorial search spaces for a class of np-hard problems (2011) (3)
- Testing Driving Three 1995 Genetic Algorithms (1995) (3)
- Walsh analysis, epistasis, and optimization problem difficulty for evolutionary algorithms (1999) (3)
- A New Method for Identification of Recombining Components in the Generalized Partition Crossover (2019) (3)
- Improved Robustness through Population Variance in Ant Colony Optimization (2009) (3)
- POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice (2009) (2)
- A Genetic Algorithm Tutorial Colorado State University a Genetic Algorithm Tutorial (1993) (2)
- Alternative implementations of the Griewangk function (2005) (2)
- Understanding transforms of pseudo-boolean functions (2020) (2)
- Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL) (2011) (2)
- Automated Velocity Picking : A Computer Vision and Optimization Approach (2000) (2)
- Artificial Intelligence: Genetic Algorithms and Evolutionary Computing (2005) (2)
- Optimal Neuron Selection: NK Echo State Networks for Reinforcement Learning (2015) (2)
- Parallel Problem Solving from Nature – PPSN XV (2018) (2)
- Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 (2002) (2)
- Resource Scheduling with Permutation Based Representations: Three Applications (2008) (2)
- Modeling Local Search: A First Step Toward Understanding Hill-climbing Search in Oversubscribed Scheduling (2)
- Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31 - August 2 1994 (1995) (2)
- Partition crossover for continuous optimization: ePX (2021) (2)
- Measuring mobility and the performance of global search algorithms (2005) (2)
- Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271) (2013) (2)
- Exploiting Problem Structure in Scheduling (2000) (1)
- A Comparison between Cellular Encoding and DirectEncoding for Genetic Neural (1996) (1)
- Real time stochastic scheduling in broadcast systems with decentralized data storage (2010) (1)
- A Programming Language for Artificial Development (1995) (1)
- Approximation Speed-Up by Quadratization on LeadingOnes (2020) (1)
- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems∗ (2016) (1)
- A modified recurrent cascade-correlation network for radar signal pulse detection (1993) (1)
- MiniSAT with Classification-based Preprocessing (2014) (1)
- Blind no more: constant time non-random improving moves and exponentially powerful recombination (2014) (1)
- A parallel ensemble genetic algorithm for the traveling salesman problem (2021) (1)
- Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009 (2009) (1)
- A Fusion Mechanism for the Generalized Asymmetric Partition Crossover (2018) (1)
- Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks (2018) (1)
- Genetic algorithm solutions for the traveling salesman problem (1990) (1)
- MiniSAT with Speculative Preprocessing (2014) (1)
- Elementary landscape analysis (2009) (1)
- TSPmap, a tool making use of traveling salesperson problem solvers in the efficient and accurate construction of high-density genetic linkage maps (2017) (1)
- Genetic Algorithms and Local Search (1996) (1)
- An efficient implementation of iterative partial transcription for the traveling salesman problem (2021) (1)
- A Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems (2021) (1)
- Comparing Search Algorithms for the Temperature Inversion Problem (2004) (1)
- Single-Funnel and Multi-funnel Landscapes and Subthreshold-Seeking Behavior (2014) (1)
- Exploiting Decomposability Using Recombination in Genetic Algorithms: An Exploratory Discussion (2011) (1)
- Models of Intervention: Helping Agents and Human Users Avoid Undesirable Outcomes (2022) (1)
- Comparing Heuristic, Evolutionary and Local Scheduling * (1996) (1)
- Spacetrack: Trading off Quality and Utilization in Oversubscribed Schedules (2006) (1)
- Evolution strategy based optimization of on-demand dependent data broadcast scheduling (2008) (1)
- Genetic Algorithms and Neural Networks (1995) (1)
- Optimizing Real-Time Ordered-Data Broadcasts in Pervasive Environments Using Evolution Strategy (2008) (1)
- No free lunch (2007) (1)
- Stochastic Local Search over Minterms on Structured SAT Instances (2016) (1)
- A gray box manifesto for evolutionary combinatorial optimization (2019) (1)
- Dynastic Potential Crossover Operator (2019) (1)
- Why many travelling salesman problem instances are easier than you think (2020) (1)
- Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life (2023) (0)
- A Survey of Models and Methods (2012) (0)
- No free lunch: 1995-2008 (2009) (0)
- Final Report for AFOSR # FA 9550-081-0422 Landscape Analysis and Algorithm Development for Plateau Plagued Search Spaces August 1 , 2008 to November 30 , 2010 (2011) (0)
- Next generation genetic algorithms (2018) (0)
- POkA (2009) (0)
- Using Multi-objective Optimization to Analyze Data Utility and Privacy Tradeoffs in Anonymization Techniques (2008) (0)
- Applying Search Algorithms to the Temperature Inversion problem (2005) (0)
- Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, Colorado, USA, July 26-29 1992 (1993) (0)
- Final Report for AFOSR # F 49620-03-1-0233 Advancing Air Force Scheduling through Modeling Problem Topologies April 1 , 2003 to May 30 , 2006 (2007) (0)
- 10361 Abstracts Collection and Executive Summary - Theory of Evolutionary Algorithms (2010) (0)
- Collection and Executive Summary Theory of Evolutionary Algorithms Dagstuhl Seminar (2010) (0)
- ACM Transactions on Evolutionary Learning and Optimization (TELO) (2020) (0)
- ACM Transactions on Evolutionary Learning and Optimization Inaugural Issue Editorial (2021) (0)
- Multi-Objective Evolutionary Optimization in Statistical Disclosure Control (2009) (0)
- Data from ''Tunnelling Crossover Networks for the Asymmetric TSP" (2016) (0)
- Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution (2023) (0)
- An Empirical Evaluation of Genetic Algorithms on Noisy Objective Functions (2017) (0)
- Quadratization of gray coded representations, long path problems and needle functions (2021) (0)
- Thesis Generalized Partition Crossover for the Traveling Salesman Problem Submitted By (2010) (0)
- Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization (2022) (0)
- Introduction to the Special I ssue on Recent Advances In B iometrics (2010) (0)
- 1. Executive Summary (2000) (0)
- No free lunch (2008) (0)
- Optimal security hardening on attack tree models of networks: a cost-benefit analysis (2012) (0)
- Elementary landscapes: theory and applications (2013) (0)
- An Empirical Evaluation of Genetic Algorithms on NoisyObjective (1996) (0)
- Hyperplane Ranking and Implicit Parallelism in Simple Genetic Algorithms (1995) (0)
- PPSN 2016 tutorials (2016) (0)
- Local optima organize into lattices under recombination: an example using the traveling salesman problem (2022) (0)
- Elementary landscapes: theory and applications (2012) (0)
- Remapping Subpartitions of Hyperspace Using Iterative Genetic Search Remapping Subpartitions of Hyperspace Using Iterative Genetic Search Remapping Subpartitions of Hyperspace Using Iterative Genetic Search (1994) (0)
- On the Identification of Property Based Generalizations in Microdata Anonymization (2010) (0)
- Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation (2000) (0)
- On the Design of a Partition Crossover for the Quadratic Assignment Problem (2020) (0)
- Genetic and Evolutionary Computation Conference, GEC Summit 2009, Proceedings, Shanghai, China, June 12-14, 2009 (2009) (0)
- Scheduling Under Uncertainty: An Analysis of an Air Force Application (2007) (0)
- The Impact of Global Structure on Search Monte Lunacek (2008) (0)
- Landscape Analysis and Algorithm Development for Plateau Plagued Search Spaces (2011) (0)
- Proceedings of the 9th international conference on Foundations of genetic algorithms (2007) (0)
- Blind No More: Constant TimeNon-Random Improving Moves and Exponentially Powerful Recombination (2015) (0)
- C3.2 Mutation C3.2.1 Binary Strings (1997) (0)
- Evolution Strategies forMatching Active Appearance ModelstoHuman Faces (2007) (0)
- Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles (2023) (0)
- Reducing the cost of partition crossover on large MAXSAT problems: the PX-preprocessor (2022) (0)
- The First Break Seismic Detection Problem: Representation Issues (2008) (0)
- Exploring the decision and objective space of SAT constrained multi-objective problems (2022) (0)
- Graybox optimization and next generation genetic algorithms (2022) (0)
- Model Justified Search Algorithms for Scheduling Under Uncertainty (2008) (0)
- Domain-independent Plan Intervention When Users Unwittingly Facilitate Attacks (2019) (0)
- Motivation and framework for using genetic algorithms for microcode compaction (1990) (0)
- Problem structure and flowshop scheduling (1999) (0)
- Analyses of algorithm performance for an oversubscribed scheduling problem (2005) (0)
- Removing randomness from evolutionary algorithms (2020) (0)
- Exploiting Elementary Landscapes for TSP, Vehicle Routing and Scheduling (2015) (0)
- Double Trouble: How global structure impacts exploration. (2007) (0)
- Overview of PPSN 2018 (2018) (0)
- Tutorials at PPSN 2018 (2018) (0)
- Randomly Initialized Subnetworks with Iterative Weight Recycling (2023) (0)
- Tutorials at PPSN 2016 (2016) (0)
- Theoretical foundations of evolutionary computation for beginners and veterans (2021) (0)
- Nonlinearity , HyperplaneRanking and the Simple Genetic (1997) (0)
- Advancing Air Force Scheduling through Modeling Problem Topologies (2006) (0)
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What Schools Are Affiliated With Darrell Whitley?
Darrell Whitley is affiliated with the following schools:
