The proceedings contain 211 papers. The topics discussed include: fitness-dependent hybridization of clonal selection algorithm and random local search;metabolite overproduction through engineering and optimization of...
ISBN:
(纸本)9781450343237
The proceedings contain 211 papers. The topics discussed include: fitness-dependent hybridization of clonal selection algorithm and random local search;metabolite overproduction through engineering and optimization of microbiome composition dynamics;a multi-objective optimization approach for generating complex networks;a morphogenetic design strategy using a composite CA model;diversity-based multi-population differential evolution for large-scale optimization;an Evo-Devo system for algorithmic composition that actually works;evolutionary procedural 2D map generation using novelty search;search space exploration and an optimization criterion for hard design problems;experimental study of automated parameter tuning on the example of irace and the traveling salesman problem;a novel co-evolutionary approach for constrained genetic algorithms;iterated local search based heuristic for scheduling jobs on unrelated parallel machines with machine deterioration effect;hybridizing different local search algorithms with each other and evolutionarycomputation: better performance on the traveling salesman problem;and a coevolution genetic algorithm for conflict resolution of multi-user satellite observation activities.
The proceedings contain 185 papers and 31 PowerPoint presentations. The topics discussed include: green and efficient energy applications of genetic and evolutionarycomputation;evolutionary optimization of multi-agen...
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ISBN:
(纸本)9781450311786
The proceedings contain 185 papers and 31 PowerPoint presentations. The topics discussed include: green and efficient energy applications of genetic and evolutionarycomputation;evolutionary optimization of multi-agent control strategies for electric vehicle charging;evolutionary multiobjective optimization for green clouds;roadside unit deployment for information dissemination in a VANET: an evolutionary approach;evolutionary prediction of photovoltaic power plant energy production;evolving evolutionary algorithms;supportive coevolution;the automatic generation of mutation operators for genetic algorithms;autoconstructive evolution for structural problems;on the architecture and implementation of tree-based genetic programming in heuristiclab;integration of flexible interfaces in optimization software frameworks for simulation-based optimization;and optimization knowledge base: an open database for algorithm and problem characteristics and optimization results.
The proceedings contain 335 papers. The topics discussed include: AbstractSwarm multi-agent logistics competition: multi-agent collaboration for improving a priori unknown logistics scenarios;automated design competit...
ISBN:
(纸本)9798400704956
The proceedings contain 335 papers. The topics discussed include: AbstractSwarm multi-agent logistics competition: multi-agent collaboration for improving a priori unknown logistics scenarios;automated design competition technical report: cascaded structure and parameter optimization based on prior knowledge;DynStack competition - dynamic stacking optimization in uncertain environments;key strategies for optimal PV system allocation;interpretable control competition;machine learning for evolutionarycomputation - the vehicle routing problems competition;a reinforcement learning-assisted evolutionary computing approach to capacitated vehicle routing with time windows;alimentation deep multiple optimal ant colony optimization to solve vehicle routing problem with time windows;improving lexicase selection with informed down-sampling;and hot off the press: the first proven performance guarantees for the non-dominated sorting genetic algorithm II (NSGA-II) on a combinatorial optimization problem.
The proceedings contain 381 papers. The topics discussed include: efficient vehicle routing problem: a machine learning and evolutionarycomputation approach;an ant colony algorithm assisted by graph neural networks f...
ISBN:
(纸本)9798400701207
The proceedings contain 381 papers. The topics discussed include: efficient vehicle routing problem: a machine learning and evolutionarycomputation approach;an ant colony algorithm assisted by graph neural networks for solving vehicle routing problems;graph Q-learning assisted ant colony optimization for vehicle routing problems with time windows;a feature-free approach to automated algorithm selection;fast genetic algorithm for feature selection — a qualitative approximation approach;hot off the press: from understanding the population dynamics of the NSGA-II to the first proven lower bounds;evolutionary symbolic regression: mechanisms from the perspectives of morphology and adaptability;impact of boundary control methods on bound-constrained optimization benchmarking;incremental recursive ranking grouping - a decomposition strategy for additively and nonadditively separable problems;and lottery tickets in evolutionary optimization: on sparse backpropagation-free trainability.
The proceedings contain 157 papers. The topics discussed include: benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed;large scale optimization of computationally expen...
ISBN:
(纸本)9781450349390
The proceedings contain 157 papers. The topics discussed include: benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed;large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling;a distributed framework for cooperation of many-objective evolutionary algorithms;a study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem;asynchronous parallel Cartesian genetic programming;designing bent Boolean functions with parallelized linear genetic programming;and integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time.
The proceedings contain 300 papers. The topics discussed include: online anomaly detection for drinking water quality using a multi-objective machine learning approach;automatic vs. manual feature engineering for anom...
ISBN:
(纸本)9781450357647
The proceedings contain 300 papers. The topics discussed include: online anomaly detection for drinking water quality using a multi-objective machine learning approach;automatic vs. manual feature engineering for anomaly detection of drinking-water quality;employing multi-objective search to enhance reactive test generation and prioritization for testing industrial cyber-physical systems;energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system;standard steady state genetic algorithms can hillclimb faster than evolutionary algorithms using standard bit mutation;deep statistical comparison of meta-heuristic stochastic optimization algorithms;detection of minimum biomarker features via bi-level optimization framework by nested hybrid differential evolution;on botnet detection with genetic programming under streaming data, label budgets and class imbalance;a multidimensional genetic programming approach for identifying epsistatic gene interactions;and summary of evolutionarycomputation for wind farm layout optimization.
The proceedings contain 364 papers. The topics discussed include: combining artificial neural networks and evolution to solve multiobjective knapsack problems;understanding exploration and exploitation powers of meta-...
ISBN:
(纸本)9781450367486
The proceedings contain 364 papers. The topics discussed include: combining artificial neural networks and evolution to solve multiobjective knapsack problems;understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis;generating interpretable reinforcement learning policies using genetic programming;low-dimensional Euclidean embedding for visualization of search spaces in combinatorial optimization;discovering test statistics using genetic programming;stochastic program synthesis via recursion schemes;hot off the press in expert systems on underwater robotic missions: success history applied to differential evolution for underwater glider path planning;a two-phase genetic algorithm for incorporating environmental considerations with production, inventory and routing decisions in supply chain networks;and hybrid estimation of distribution algorithm for solving a resource level allocation problem in a legal business.
The proceedings contain 309 papers. The topics discussed include: ring cellular encode-decode UMDA: simple is effective;cooperative co-evolution strategies with time-dependent grouping for optimization problems in sma...
ISBN:
(纸本)9781450383516
The proceedings contain 309 papers. The topics discussed include: ring cellular encode-decode UMDA: simple is effective;cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids;exact and approximate USCP with branch and bound;benchmarking gradient-free optimizers for 3D performance capture in the Nevergrad platform;hospital simulation model optimization with a random ReLU expansion surrogate model;surrogate-based optimization for a hospital simulation scenario using pairwise classifiers;an evolutionary and neighborhood-based algorithm for optimization under low budget requirements;do quality indicators prefer particular multi-objective search algorithms in search-based software engineering? (Hot off the press track at GECCO 2021);and theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives (hot-off-the-press track at GECCO 2021).
The proceedings contain 89 papers. The topics discussed include: an abstraction-based genetic programming system;solving the MAXSAT problem using a multivariate EDA based on markov networks;optimising the flow of expe...
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ISBN:
(纸本)159593698X
The proceedings contain 89 papers. The topics discussed include: an abstraction-based genetic programming system;solving the MAXSAT problem using a multivariate EDA based on markov networks;optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms;the role of speciation in spatial coevolutionary function approximation;evolving evolutionary algorithms using evolutionary algorithms;incorporating characteristics of human creativity into an evolutionary art algorithm;evolution of lace knitting stitch patterns by genetic programming;activation energy-based simulation for self-assembly of multi-shape tiles;choice and development;cluster-based evolutionary design of digital circuits using all improved multi-expression programming;an evolutionary platform for developing next-generation electronic circuits;evolutionary music composer integrating formal grammar;and experimental analysis of binary differential evolution in dynamic environments.
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