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Electromagnetic Optimization By Genetic Algorithms

particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic;

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Genetic Algorithms in Electromagnetics

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms;

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Genetic and Evolutionary Methods

Algorithms and Applications + Genetic Programming + Dynamic Optimization;

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Finite Elements-based Optimization

couple them to effect shape optimization. The optimization part of the book will survey optimization methods and focus on the genetic algorithm;

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Hands-On Genetic Algorithms with Python

, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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Cellular Genetic Algorithms

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;

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Evolutionary Algorithms In Engineering And Computer Science

Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

genetic algorithms and evolution strategies, and for those who want to learn more about classical and evolutionary optimization methods and their;

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Genetic Algorithms And Engineering Design

The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial;

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Genetic Algorithms and Genetic Programming

of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;

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Genetic Algorithms and Genetic Programming

of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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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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Foundations of Genetic Algorithms 1991 (FOGA 1)

likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference;

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Algorithms for Variable-Size Optimization

Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical;

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Algorithms for Variable-Size Optimization

Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Genetic Algorithms and Grouping Problems

A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the;

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Genetic Algorithms In Search, Optimization And Machine Learn

examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum;

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Optimization Techniques for Solving Complex Problems

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for;

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Optimisation in Signal and Image Processing

approach; hidden Markov models; and, metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization;

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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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