Differential Evolution: From Theory to Practice

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,