Journal Article10.1016/J.MATCOM.2021.08.013
Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems
Fatma A. Hashim,Essam H. Houssein,Kashif Hussain,Mai S. Mabrouk,Walid Al-Atabany,Walid Al-Atabany +5 more
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TL;DR: The experimental results, along with statistical analysis, reveal the effectiveness of HBA for solving optimization problems with complex search-space, as well as, its superiority in terms of convergence speed and exploration–exploitation balance, as compared to other methods used in this study.
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About: This article is published in Mathematics and Computers in Simulation. The article was published on 01 Feb 2022. The article focuses on the topics: Metaheuristic & Metaheuristic.
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Citations
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
TL;DR: In this paper , a new nature-inspired optimization method, named the Golden Jackal Optimization (GJO) algorithm is proposed, which aims to provide an alternative optimization method for solving real-world engineering problems.
495
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion
Mohamed Abdel-Basset,Reda El_shahat Mohamed,Shaimaa A. Abdel Azeem,M. Jameel,Mohamed Abouhawwash +4 more
TL;DR: In this paper , a novel physics-based metaheuristic algorithm called Kepler optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the position and velocity of planets at any given time.
228
Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
Mohammad Dehghani,P. Trojovský +1 more
TL;DR: The Osprey Optimization Algorithm (OOA) as mentioned in this paper is a metaheuristic algorithm based on the behavior of osprey in nature, which imitates the behaviour of Ospreys when hunting fish from the seas.
Crayfish optimization algorithm
Heming Jia,Honghua Rao,Changsheng Wen,Seyedali Mirjalili +3 more
TL;DR: A meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior, which shows that COA can balance the exploration and exploitation, and achieve good optimization effect.
195
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
Kusum Deep,Swagatam Das +1 more
TL;DR: More than 500 new metaheuristic algorithms (MAs) have been developed to date, with over 350 of them appearing in the last decade as mentioned in this paper , and approximately 540 MAs are tracked, and statistical information is also provided.
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