A Survey on Meta-Heuristic Global Optimization Algorithms
Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El‐Shafie, Mahdiyeh Eslami · 2016
Abstract: Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Recently, metaheuristic global optimization algorithms have become a popular choice for solving complex and intricate problems, which are otherwise difficult to solve by traditional methods. In the present study, an attempt is made to review the most popular and well known metaheuristic global optimization algorithms introduced during the past decades. Key words: Global optimization, metaheuristic algorithm, swarm intelligence