Differential Evolution (A Handbook for Global Permutation-Based Combinatorial Optimization)

This handbook serves as a comprehensive resource for understanding differential evolution, particularly in the context of global permutation-based combinatorial optimization. Edited by experts Donald Davendra and Godfrey C. Onwubolu, it delves into the principles, methodologies, and applications of this optimization technique, making it accessible for both researchers and practitioners.

Readers will find valuable insights into the theoretical foundations of differential evolution, alongside practical examples and case studies that highlight its effectiveness in solving complex optimization problems. The book emphasizes the adaptability of differential evolution to a wide range of combinatorial challenges, underscoring its significance in various fields, from engineering to computer science.