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Applications Of Multi-objective Evolutionary Algorithms

multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Artificial Intelligence Algorithms and Applications

topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems;

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Evolutionary Data Clustering

for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021;

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Multi-Objective Optimization Using Evolu

knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective;

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Parallel Problem Solving from Nature -- PPSN XIV

optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization;

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Fuzzy Multiple Objective Decision Making

multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover;

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Fuzzy Multiple Objective Decision Making

multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover;

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MultiObjective Optimization using Evolutionary Algorithms

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes;

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Advances in Swarm Intelligence, Part I

system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;

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Genetic Algorithms

latest issues and provides insights into various theoretical and technical aspects of evolutionary multi-objective optimization problems and;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then;

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Advances in Evolutionary Algorithms Research

The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments;

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Data-Driven Evolutionary Optimization

available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that;

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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Principles in Noisy Optimization

of evolutionary optimization, the book subsequently explores the principles of noisy optimization in single and multi-objective settings, and presents;

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Real-World Multi-Objective System Engineering

cases. Such an optimisation is generally called multi-objective or multi-criterion optimisation. The area of research that applies evolutionary;

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