Evolutionary Algorithms

Evolutionary Algorithms

Author: Alain Petrowski

Publisher: John Wiley & Sons

ISBN: 9781848218048

Category: Computers

Page: 256

View: 945

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.
Evolutionary Algorithms
Language: en
Pages: 256
Authors: Alain Petrowski, Zbigniew Michalewicz, Sana Ben-Hamida
Categories: Computers
Type: BOOK - Published: 2017-04-24 - Publisher: John Wiley & Sons

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic
Evolutionary Algorithms in Management Applications
Language: en
Pages: 379
Authors: Jörg Biethahn, Volker Nissen
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
Language: en
Pages: 304
Authors: Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga
Categories: Mathematics
Type: BOOK - Published: 2017-10-09 - Publisher: John Wiley & Sons

Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) --
Analyzing Evolutionary Algorithms
Language: en
Pages: 258
Authors: Thomas Jansen
Categories: Computers
Type: BOOK - Published: 2013-01-24 - Publisher: Springer Science & Business Media

Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary
Evolutionary Algorithms
Language: en
Pages: 222
Authors: William M. Spears
Categories: Computers
Type: BOOK - Published: 2000-06-15 - Publisher: Springer Science & Business Media

Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for