Parallelized Multiple Swarm Artificial Bee Colony Algorithm (MS-ABC) for Global Optimization
Miloš Subotić, Milan Tuba · Studies in Informatics and Control · 2014
Swarm intelligence metaheuristics have been successfully used for hard optimization problems.After the initial introduction phase such algorithms are further improved by modifications and hybridizations.Parallelization is usually introduced for performance improvement and better resources utilization.In this paper we present an improved parallelized artificial bee colony (ABC) algorithm with multiple swarm inter-communication and learning that not only significantly improves computational time, but also improves the results.Proposed algorithm was tested on large set of standard benchmark functions and it outperformed the state-of-art ABC algorithm.