UID:
almahu_9949767529702882
Format:
1 online resource (281 pages) :
,
illustrations
Edition:
First edition.
ISBN:
9781000096514 (e-book)
,
9781003006312 (e-book)
Content:
"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"--
Note:
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.
Additional Edition:
Print version: Cuevas, Erik. Metaheuristic computation with MATLAB. Boca Raton, Florida: CRC Press, 2020 ISBN 9780367438869
Language:
English
Keywords:
Electronic books.
