the proceedings contain 128 papers. the topics discussed include: optimal fixed and adaptive mutation rates for the LeadingOnes problem;mirrored sampling and sequential selection for evolution strategies;optimizing mo...
ISBN:
(纸本)3642158439
the proceedings contain 128 papers. the topics discussed include: optimal fixed and adaptive mutation rates for the LeadingOnes problem;mirrored sampling and sequential selection for evolution strategies;optimizing monotone functions can be difficult;exploiting overlap when searching for robust optima;benchmarking evolutionary algorithms: towards exploratory landscape analysis;when does dependency modelling help? using a randomized landscape generator to compare algorithms in terms of problem structure;a novel smart multi-objective particle swarm optimisation using decomposition;improved dynamic lexicographic ordering for multi-objective optimisation;optimizing delivery time in multi-objective vehicle routing problems with time windows;consultant-guided search algorithms with local search for the traveling salesman problem;and many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space.
the proceedings contain 128 papers. the topics discussed include: optimal fixed and adaptive mutation rates for the LeadingOnes problem;mirrored sampling and sequential selection for evolution strategies;optimizing mo...
ISBN:
(纸本)3642158706
the proceedings contain 128 papers. the topics discussed include: optimal fixed and adaptive mutation rates for the LeadingOnes problem;mirrored sampling and sequential selection for evolution strategies;optimizing monotone functions can be difficult;exploiting overlap when searching for robust optima;benchmarking evolutionary algorithms: towards exploratory landscape analysis;when does dependency modelling help? using a randomized landscape generator to compare algorithms in terms of problem structure;a novel smart multi-objective particle swarm optimisation using decomposition;improved dynamic lexicographic ordering for multi-objective optimisation;optimizing delivery time in multi-objective vehicle routing problems with time windows;consultant-guided search algorithms with local search for the traveling salesman problem;and many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space.
the proceedings contain 106 papers. the topics discussed include: evolutionary optimization in spatio-temporal fitness landscape;cumulative step length adaptation on ridge functions;mixed-integer NK landscape;how comm...
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ISBN:
(纸本)3540389903
the proceedings contain 106 papers. the topics discussed include: evolutionary optimization in spatio-temporal fitness landscape;cumulative step length adaptation on ridge functions;mixed-integer NK landscape;how comma selection helps withthe escape from local optima;diversity loss in general estimation of distribution algorithms;information perspective of optimization;towards an adaptive multimeme algorithm for parameter optimization suiting the engineers' needs;a tabu search evolutionary algorithm for solving constraint satisfaction problems;improved squeaky wheel optimization for binary-coded problems;substructural neighborhoods for local search in the Bayesian optimization algorithm;genetic algorithm for burst detection and activity tracking in event streams;direct manipulation of free form deformation in evolutionary design optimization;and robust simulation of lamprey tracking.
the proceedings contain 93 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: Some computational aspects of robot kinematic redundancy;power distribution netwo...
ISBN:
(纸本)9783319107615
the proceedings contain 93 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: Some computational aspects of robot kinematic redundancy;power distribution network reconfiguration by evolutionary integer programming;towards the evolution of things;online black-box algorithm portfolios for continuous optimization;a dynamic model for spatially structured evolutionary algorithms;how to assess step-size adaptation mechanisms in randomised search;maximum likelihood-based online adaptation of hyper-parameters in CMA-ES;run-time parameter selection and tuning for energy optimization algorithms;towards a method for automatic algorithm configuration;parameter prediction based on features of evolved instances for ant colony optimization and the traveling salesperson problem;the baldwin effect hinders self-adaptation;on low complexity acceleration techniques for randomized optimization;stopping criteria for multimodal optimization;a memory-based optimization heuristic;a differential evolution algorithm for the permutation flowshop scheduling problem with total flow time criterion;a taxonomy of heterogeneity and dynamics in particle swarm optimisation;messy coding in the XCS classifier system for sequence labeling;reevaluating exponential crossover in differential evolution;a cooperative evolutionary approach to learn communities in multilayer networks;novelty search in competitive coevolution;an immune-inspired algorithm for the set cover problem;natural gradient approach for linearly constrained continuous optimization;evolutionary constrained optimization for a jupiter capture;adaptation in nonlinear learning models for nonstationary tasks;on the effectiveness of sampling for evolutionary optimization in noisy environments and factoradic representation for permutation optimisation.
the proceedings contain 105 papers. the topics discussed include: convergence of the IGO-flow of isotropic Gaussian distributions on convex quadratic problems;homogeneous and heterogeneous island models for the set co...
ISBN:
(纸本)9783642329364
the proceedings contain 105 papers. the topics discussed include: convergence of the IGO-flow of isotropic Gaussian distributions on convex quadratic problems;homogeneous and heterogeneous island models for the set cover problem;geometric semantic genetic programming;efficient negative selection algorithms by sampling and approximate counting;a parameterized runtime analysis of simple evolutionary algorithms for makespan scheduling;on algorithm-dependent boundary case identification for problem classes;cumulative step-size adaptation on linear functions;experimental supplements to the computational complexity analysis of genetic programming for problems modeling isolated program semantics;temporal evolution of design principles in engineering systems: analogies with human evolution;clustering criteria in multiobjective data clustering;and controlling the parameters of the particle swarm optimization with a self-organized criticality model.
the proceedings contain 105 papers. the topics discussed include: convergence of the IGO-flow of isotropic Gaussian distributions on convex quadratic problems;homogeneous and heterogeneous island models for the set co...
ISBN:
(纸本)9783642329630
the proceedings contain 105 papers. the topics discussed include: convergence of the IGO-flow of isotropic Gaussian distributions on convex quadratic problems;homogeneous and heterogeneous island models for the set cover problem;geometric semantic genetic programming;efficient negative selection algorithms by sampling and approximate counting;a parameterized runtime analysis of simple evolutionary algorithms for makespan scheduling;on algorithm-dependent boundary case identification for problem classes;cumulative step-size adaptation on linear functions;experimental supplements to the computational complexity analysis of genetic programming for problems modeling isolated program semantics;temporal evolution of design principles in engineering systems: analogies with human evolution;clustering criteria in multiobjective data clustering;and controlling the parameters of the particle swarm optimization with a self-organized criticality model.
the proceedings contain 101 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Rout...
ISBN:
(纸本)9783031700675
the proceedings contain 101 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing problems;generalizing and Unifying Gray-Box Combinatorial Optimization Operators;ant Colony Optimization for the Dynamic Electric Vehicle Routing problem;learning a Prior for Monte Carlo Search by Replaying Solutions to Combinatorial problems;Dancing to the State of the Art?: How Candidate Lists Influence LKH for solvingthe Traveling Salesperson problem;multi-objective Evolutionary Approaches for the Knapsack problem with Stochastic Profits;knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints;positional Bias Does Not Influence Cartesian Genetic Programming with Crossover;unit-Aware Genetic Programming for the Development of Empirical Equations;improving the Performance of Relocation Rules for the Container Relocation problem withthe Rollout Algorithm;p-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization;symbol Graph Genetic Programming for Symbolic Regression;Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression;adaptive Sampling of Biomedical Images with Cartesian Genetic Programming;the Inefficiency of Genetic Programming for Symbolic Regression;decision Tree Based Wrappers for Hearing Loss;multimodal Adaptive Graph Evolution for Program Synthesis;enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives;funnels in Multi-objective Fitness Landscapes;contrasting the Landscapes of Feature Selection Under Different Machine Learning Models;entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment;over Sampling Local Optima: Selection and Sampling Bias in Hybrid Genetic Algorithms;regularized Feature Selection Landscapes: An
the proceedings contain 101 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Rout...
ISBN:
(纸本)9783031700842
the proceedings contain 101 papers. the special focus in this conference is on parallelproblemsolvingfromnature. the topics include: GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing problems;generalizing and Unifying Gray-Box Combinatorial Optimization Operators;ant Colony Optimization for the Dynamic Electric Vehicle Routing problem;learning a Prior for Monte Carlo Search by Replaying Solutions to Combinatorial problems;Dancing to the State of the Art?: How Candidate Lists Influence LKH for solvingthe Traveling Salesperson problem;multi-objective Evolutionary Approaches for the Knapsack problem with Stochastic Profits;knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints;positional Bias Does Not Influence Cartesian Genetic Programming with Crossover;unit-Aware Genetic Programming for the Development of Empirical Equations;improving the Performance of Relocation Rules for the Container Relocation problem withthe Rollout Algorithm;p-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization;symbol Graph Genetic Programming for Symbolic Regression;Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression;adaptive Sampling of Biomedical Images with Cartesian Genetic Programming;the Inefficiency of Genetic Programming for Symbolic Regression;decision Tree Based Wrappers for Hearing Loss;multimodal Adaptive Graph Evolution for Program Synthesis;enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives;funnels in Multi-objective Fitness Landscapes;contrasting the Landscapes of Feature Selection Under Different Machine Learning Models;entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment;over Sampling Local Optima: Selection and Sampling Bias in Hybrid Genetic Algorithms;regularized Feature Selection Landscapes: An
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