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Multimodal Optimization by Means of Evolutionary Algorithms

of computational intelligence, particularly those engaged with heuristic search, multimodal optimization, evolutionary computing, and experimental analysis.;

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Electromagnetic Optimization By Genetic Algorithms

optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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A Brief Introduction to Continuous Evolutionary Optimization

. Heuristic extensions are presented that allow optimization in constrained, multimodal and multi-objective solution spaces. An adaptive penalty;

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Evolutionary Computation

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single;

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Evolutionary Computation

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several;

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Applied Evolutionary Algorithms for Engineers using Python

of evolutionary algorithms to optimization problems. This is complemented by Python source codes, giving users an insight into the idiosyncrasies of the;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Evolutionary Algorithms In Engineering And Computer Science

Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela;

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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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Parallel Problem Solving from Nature -- PPSN XIV

included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary;

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Evolutionary Algorithms

suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators;

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Evolutionary Programming IV

of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from;

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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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Socio cultural Inspired Metaheuristics

book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial;

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Genetic and Evolutionary Methods

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;

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Emerging Evolutionary Algorithms for Antennas and Wireless Communications

emerging EAs and their variants. Chapter 1 introduces the optimization methods in general and the evolutionary algorithms. Chapter 2 presents;

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Evolutionary Optimization Algorithms

with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization;

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Evolutionary Algorithms For Mobile Ad Hoc Networks

involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting;

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Evolutionary Data Clustering

-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering;

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Multi-Objective Optimization Using Evolu

. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have;

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Artificial Evolution

papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co;

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Mathematical Optimization Terminology

, extraction methods for uncertain inference rules by ant colony optimization, a benchmark test suite for evolutionary many-objective optimization, a;

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Evolutionary Algorithms and Neural Networks

optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as;

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Constraint-Handling in Evolutionary Optimization

on Evolutionary Computation (CEC) in 2007, and motivated by the kind invitation made by Dr. Janusz Kacprzyk, I decided to edit a book, with;

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