Erik Cuevas, Alma Rodriguez

Metaheuristic Computation with MATLAB(R)

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 280
• Erscheinungstermin: 23. Juli 2020
• Englisch
• Abmessung: 254mm x 178mm x 18mm
• Gewicht: 708g
• ISBN-13: 9780367438869
• ISBN-10: 0367438860
• Artikelnr.: 59927225

Autorenporträt

Erik Cuevas is a professor in the Department of Electronics at the University of Guadalajara, Mexico. Alma Rodríguez is a PhD candidate in electronics and computer science at the University of Guadalajara, Mexico.

Inhaltsangabe

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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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.