Chapter Twenty: Conclusion and future research directions
Abstract
Many metaheuristic algorithms have been presented, and they all have their own distinguishing features. Although we can classify metaheuristic algorithms as single-solution-based or population-based, most metaheuristic algorithms presented after 2000 are population-based; therefore, this classification is not particularly suitable for classifying metaheuristic algorithms proposed recently. A simple classification based on the abbreviations, names, and inspirations of metaheuristic algorithms is given in this chapter, dividing them into six groups, namely, (1) neighborhood heuristics, (2) evaluation computation, (3) swarm intelligence, (4) human intelligence, (5) astronomy and physics, ...
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