An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges.

As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, with over 350 of them appearing in the last decade. The literature has grown significantly in recen... View More