Current trends in the population-based optimization

Abstract

Population-based methods are used to deal with computationally difficult optimization problems. The outcome of the current research effort in the field of the population-based optimization can be broadly categorized as a new, stand-alone, P-B metaheuristics, ensemble P-B metaheuristics including multi-population and multi-agent approaches, new hybrid approaches involving P-B metaheuristics, and improvements and successful modifications of the earlier known P-B metaheuristics. Research results obtained during the last few years in each of the above categories are briefly discussed. The last part of the paper includes comments on directions of future research in the population-based optimization.