Metaheuristic Computation with MATLAB(R)
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ISBN-13:
9780367523800
Veröffentl:
2022
Erscheinungsdatum:
06.05.2022
Seiten:
280
Autor:
Erik Cuevas
Gewicht:
494 g
Format:
254x178x15 mm
Sprache:
Englisch
Beschreibung:
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.
Preface. Acknowledgments. Authors. Chapter 1 Introduction and Main Concepts. Chapter 2 Genetic Algorithms (GA). Chapter 3 Evolutionary Strategies (ES). Chapter 4 Moth-Flame Optimization (MFO) Algorithm. Chapter 5 Differential Evolution (DE). Chapter 6 Particle Swarm Optimization (PSO) Algorithm. Chapter 7 Artificial Bee Colony (ABC) Algorithm. Chapter 8 Cuckoo Search (CS) Algorithm. Chapter 9 Metaheuristic Multimodal Optimization. Index.
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