Nature-Inspired Metaheuristic Algorithms

摘要: Modern metaheuristic algorithms such as bee and harmony search start to demonstrate their power in dealing with tough optimization problems even NP-hard problems. This book reviews introduces the state-of-the-art nature-inspired optimization, including genetic algorithms, particle swarm simulated annealing, ant colony search, firefly algorithms. We also briefly introduce photosynthetic algorithm, enzyme Tabu search. Worked examples implementation have been used show how each algorithm works. is thus an ideal textbook for undergraduate and/or graduate course. As some of are at forefront current research, this can serve a reference researchers.