AHA swMATH ID: 41902 Software Authors: Zhao, Weiguo; Wang, Liying; Mirjalili, Seyedali Description: Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications. A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is proposed in this work to solve optimization problems. The AHA algorithm simulates the special flight skills and intelligent foraging strategies of hummingbirds in nature. Three kinds of flight skills utilized in foraging strategies, including axial, diagonal, and omnidirectional flights, are modeled. In addition, guided foraging, territorial foraging, and migrating foraging are implemented, and a visit table is constructed to model the memory function of hummingbirds for food sources. AHA is validated using two sets of numerical test functions, and the results are compared with those obtained from various algorithms. The comparisons demonstrate that AHA is more competitive than other meta-heuristic algorithms and determine high-quality solutions with fewer control parameters. Additionally, the performance of AHA is validated on ten challenging engineering design cases studies. The results show the superior effectiveness of AHA in terms of computational burden and solution precision compared with the existing optimization techniques in literature. The study also explores the application of AHA in hydropower operation design to further demonstrate its potential in practice. The source code of AHA is publicly available at url{https://seyedalimirjalili.com/aha} and url{https://www.mathworks.com/matlabcentral/fileexchange/101133-artificial-hummingbird-algorithm?s_tid=srchtitle}. Homepage: https://www.mathworks.com/matlabcentral/fileexchange/101133-artificial-hummingbird-algorithm Dependencies: Matlab Keywords: artificial hummingbird algorithm; engineering optimization; swarm intelligence; meta-heuristics; bio-inspired computing; algorithm; benchmark; genetic algorithm Related Software: SSA; AOA; GWO; WOA; MOMPA; ALO; ABC; GSA; Honey badger algorithm; Aquila optimizer; Krill herd; SPEA2; RM-MEDA; WCA; KEEL; MOEA/D; CMA-ES; CEC 13 Cited in: 6 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications. Zbl 07442769Zhao, Weiguo; Wang, Liying; Mirjalili, Seyedali 2022 all top 5 Cited by 20 Authors 2 Mirjalili, SeyedAli 2 Wang, Liying 2 Zhao, Weiguo 1 Aydemir, Salih Berkan 1 Das, Pradipta Kumar 1 Du, Bo 1 Düzenli, Timur 1 Gandomi, Amir Hossein 1 Hu, Gang 1 Kabat, Manas Ranjan 1 Khodadadi, Nima 1 Mirjalili, Seyed Mohammad 1 Nadimi-Shahraki, Mohammad H. 1 Örnek, Bülent Nafi 1 Özak, Bilal 1 Sahu, Bandita 1 Wei, Guo 1 Zamani, Hoda 1 Zhang, Zhenxing 1 Zhong, Jingyu Cited in 2 Serials 4 Computer Methods in Applied Mechanics and Engineering 2 Mathematics and Computers in Simulation Cited in 5 Fields 4 Computer science (68-XX) 4 Operations research, mathematical programming (90-XX) 2 Numerical analysis (65-XX) 1 Biology and other natural sciences (92-XX) 1 Systems theory; control (93-XX) Citations by Year