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Genetic Algorithms Reference
Language: en
Pages: 412
Authors: Tomasz Dominik Gwiazda
Categories: Computers
Type: BOOK - Published: 2006-01-01 - Publisher: Thomas Gwiazda

This book is the first of the series of reference books I am working on, with the aim to provide a possibly most comprehensive review of methods developed in the field of Genetic Algorithms. The necessity to concentrate on certain thematic areas is the result of the character of these
Genetic Algorithms Reference Volume 2 Mutation Operator for Numerical Optimization Problems
Language: en
Pages: 300
Authors: Tomasz Dominik Gwiazda
Categories: Computers
Type: BOOK - Published: 2007-07-01 - Publisher:

"This book is the first of a series of reference books aimed at providing a most comprehensive review of methods developed in the field of Genetic Algorithms. This edition contains descriptions of 11 standard, 66 binary coded, and 89 real coded crossover operators; 182 algorithms in a form of pseudo
Introduction to Genetic Algorithms
Language: en
Pages: 442
Authors: S.N. Sivanandam, S. N. Deepa
Categories: Technology & Engineering
Type: BOOK - Published: 2007-10-24 - Publisher: Springer Science & Business Media

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0.
Genetic Algorithms and Engineering Design
Language: en
Pages: 432
Authors: Mitsuo Gen, Runwei Cheng
Categories: Technology & Engineering
Type: BOOK - Published: 1997-01-21 - Publisher: John Wiley & Sons

The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and
Evolutionary Algorithms for Solving Multi-Objective Problems
Language: en
Pages: 576
Authors: Carlos A. Coello Coello, David A. Van Veldhuizen, Gary B. Lamont
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: Springer Science & Business Media

The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research,