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Více informací o knize Differential Evolution: From Theory to Practice

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Anotace knihy

This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Differential Evolution: From Theory to Practice
• Autor: B. Vinoth Kumar, Diego Oliva, P. N. Suganthan
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 381
• EAN: 9789811680847
• ID: 42691481
• Nakladatelství: Springer, Berlin
• Hmotnost: 553 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2023

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