Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm

By Maziar Yazdani, Fariborz Jolai. Journal of Computational Design and Engineering, 2016

616 citations recorded by the source corpus.

During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced. Special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm. Some benchmark problems are selected from the literature, and the solution of the proposed algorithm has been compared with those of some well-known and newest meta-heuristics for these problems. The obtained results confirm the high performance of the proposed algorithm in comparison to the other algorithms used in this paper.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/1a27c1d8f4ff0865daea85a7d554717cb0e0cf90

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Citations in the corpus

Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems (2022, background): “This has, over the past few decades, led to the development of many new metaheuristic algorithms [54].”
Bio inspired computing - A review of algorithms and scope of applications (2016, background): “…insect based algorithms like fruit fly (Pan, 2012), wasp (Theraulaz et al. 1991), and glow-worm (Krishnanand and Ghose, 2005); individual animal based algorithms like monkey (Mucherino, and Seref, 2007), shark (Hersovici et al., 1998), wolf (Liu et al., 2011) and lion (Yazdani & Jolai, 2015).”
Metaheuristic research: a comprehensive survey (2018, methodology): “…Leaders and followers (Gonzalez-Fernandez and Chen 2015) LASDA Adaptive Spiral Dynamics Algorithm (Nasir et al. 2016) LOA Lion Optimization Algorithm (Yazdani and Jolai 2016) LS Local Search (Aarts and Lenstra 1997) LSA Locust Swarm Algorithm (Cuevas et al. 2015) LSO Lifecycle-based Swarm…”