
Metaheuristic computation with MATLAB.
Title:
Metaheuristic computation with MATLAB.
Author:
Cuevas, Erik, author.
ISBN:
9781000096514
9781003006312
Personal Author:
Edition:
First edition.
Physical Description:
1 online resource (281 pages) : illustrations
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.
Abstract:
"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.
Local Note:
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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