Metaheuristic computation with MATLAB®. / Erik Cuevas, Alma Rodríguez.

Format:

Book

Author/Creator:

Cuevas, Erik, author.

Rodríguez, Alma (Computer science scholar), author.

Language:

English

Subjects (All):

MATLAB.

Metaheuristics.

Mathematical optimization.

Physical Description:

1 online resource (281 pages) : illustrations

Edition:

First edition.

Place of Publication:

Boca Raton, Florida : CRC Press, 2020.

Summary:

"Metaheuristic algorithms are considered generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies. The main purpose of this book is to provide a unified view of the most popular metaheuristic methods. Under this perspective, it has presented the fundamental design principles as well as the operators of metaheuristic approaches which are considered essential. In the explanation, not only the design aspects have been considered, but also their implementation using the popular software MATLAB"-- Provided by publisher.

Contents:

Introduction and main concepts

Genetic algorithms (GA)

Evolutionary Strategies (ES)

Moth Flame Optimization (MFO)

Differential Evolution (DE)

Particle Swarm Optimization Algorithm (PSO)

Artificial Bee Colony (ABC)

Cuckoo Search Algorithm (CS)

Multimodal techniques.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-300631-0

1-003-00631-0

1-000-09651-3

9781003006312

OCLC:

1197637612