Evolutionary Optimization Algorithms
Author : Dan Simon
Publisher : John Wiley & Sons
Total Pages : 772
Release : 2013-06-13
ISBN 10 : 9781118659502
ISBN 13 : 1118659503
Language : EN, FR, DE, ES & NL

Evolutionary Optimization Algorithms Book Description:

A clear and lucid bottom-up approach to the basic principlesof evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificialintelligence. EAs are motivated by optimization processes that weobserve in nature, such as natural selection, species migration,bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, andprogramming of evolutionary optimization algorithms. Featuredalgorithms include genetic algorithms, genetic programming, antcolony optimization, particle swarm optimization, differentialevolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists thereader in obtaining a clear—but theoreticallyrigorous—understanding of evolutionary algorithms, with anemphasis on implementation Gives a careful treatment of recently developedEAs—including opposition-based learning, artificial fishswarms, bacterial foraging, and many others— and discussestheir similarities and differences from more well-establishedEAs Includes chapter-end problems plus a solutions manual availableonline for instructors Offers simple examples that provide the reader with anintuitive understanding of the theory Features source code for the examples available on the author'swebsite Provides advanced mathematical techniques for analyzing EAs,including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspiredand Population-Based Approaches to Computer Intelligence is anideal text for advanced undergraduate students, graduate students,and professionals involved in engineering and computer science.


Evolutionary Optimization Algorithms
Language: en
Pages: 772
Authors: Dan Simon
Categories: Mathematics
Type: BOOK - Published: 2013-06-13 - Publisher: John Wiley & Sons

A clear and lucid bottom-up approach to the basic principlesof evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificialintelligence. EAs a
Evolutionary Optimization Algorithms
Language: en
Pages: 273
Authors: Altaf Q. H. Badar
Categories: Technology & Engineering
Type: BOOK - Published: 2021-10-30 - Publisher: CRC Press

This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems. The text pr
Data-Driven Evolutionary Optimization
Language: en
Pages: 393
Authors: Yaochu Jin
Categories: Computers
Type: BOOK - Published: 2021-06-28 - Publisher: Springer Nature

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Wr
Evolutionary Optimization
Language: en
Pages: 418
Authors: Ruhul Sarker
Categories: Business & Economics
Type: BOOK - Published: 2006-04-11 - Publisher: Springer Science & Business Media

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than tr
Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
Language: en
Pages: 305
Authors: Jacques Periaux
Categories: Technology & Engineering
Type: BOOK - Published: 2015-04-13 - Publisher: Springer

Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book desc
Noisy Optimization With Evolution Strategies
Language: en
Pages: 158
Authors: Dirk V. Arnold
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: Springer Science & Business Media

Noise is a common factor in most real-world optimization problems. Sources of noise can include physical measurement limitations, stochastic simulation models,
Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques
Language: en
Pages: 282
Authors: Chis, Monica
Categories: Education
Type: BOOK - Published: 2010-06-30 - Publisher: IGI Global

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of
Constraint-Handling in Evolutionary Optimization
Language: en
Pages: 264
Authors: Efrén Mezura-Montes
Categories: Computers
Type: BOOK - Published: 2009-04-07 - Publisher: Springer Science & Business Media

This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (
Numerical and Evolutionary Optimization – NEO 2017
Language: en
Pages: 312
Authors: Leonardo Trujillo
Categories: Technology & Engineering
Type: BOOK - Published: 2018-07-12 - Publisher: Springer

This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Me
Nature-Inspired Optimization Algorithms
Language: en
Pages: 310
Authors: Xin-She Yang
Categories: Science
Type: BOOK - Published: 2020-09-09 - Publisher: Academic Press

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified ap