Firefly algorithm: recent advances and applications

作者：Xin She Yang, Xingshi He · 发表于：International Journal of Swarm Intelligence · 年份：2013 · DOI：10.1504/ijsi.2013.055801 · 被引用次数：858 · 研究领域：Metaheuristic Optimization Algorithms Research、Vehicle Routing Optimization Methods、Advanced Multi-Objective Optimization Algorithms

Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse applications. In this paper, we will briefly review the fundamentals of firefly algorithm together with a selection of recent publications. Then, we discuss the optimality associated with balancing exploration and exploitation, which is essential for all metaheuristic algorithms. By comparing with intermittent search strategy, we conclude that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy. We also analyse algorithms and their implications for higherdimensional optimisation problems.