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Technol."},{"key":"ref37","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","article-title":"No free lunch theorems for optimization","volume":"1","author":"Wolpert","year":"1997","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref38","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.swevo.2018.01.001","article-title":"A novel random walk grey wolf optimizer","volume":"44","author":"Gupta","year":"2019","journal-title":"Swarm Evol. Comput."},{"key":"ref39","unstructured":"X. Zhou, C. Yang, and W. Gui, \u201cState transition algorithm,\u201d arXiv preprint arXiv:1205.6548, 2012."},{"key":"ref40","doi-asserted-by":"crossref","first-page":"100952","DOI":"10.1016\/j.swevo.2021.100952","article-title":"Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques","volume":"67","author":"Tharwat","year":"2021","journal-title":"Swarm Evol. 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Softw."},{"key":"ref48","first-page":"232","article-title":"Multi-threshold image segmentation based on the improved northern goshawk optimization","volume":"49","author":"Fu","year":"2023","journal-title":"Comput. Eng."},{"key":"ref49","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s10661-022-10590-y","article-title":"Path planning optimization in unmanned aerial vehicles using meta-heuristic algorithms: A systematic review","volume":"195","author":"Yahia","year":"2023","journal-title":"Environ. Monit. Assess."},{"key":"ref50","doi-asserted-by":"crossref","first-page":"100844","DOI":"10.1016\/j.swevo.2021.100844","article-title":"A survey on population-based meta-heuristic algorithms for motion planning of aircraft","volume":"62","author":"Wu","year":"2021","journal-title":"Swarm Evol. Comput."},{"key":"ref51","doi-asserted-by":"crossref","first-page":"4295","DOI":"10.1007\/s10462-022-10281-7","article-title":"Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: A comprehensive review","volume":"56","author":"Tang","year":"2023","journal-title":"Artif. Intell. Rev."},{"key":"ref52","doi-asserted-by":"crossref","first-page":"10133","DOI":"10.1007\/s00521-022-06998-9","article-title":"Optimal path planning for drones based on swarm intelligence algorithm","volume":"34","author":"Saeed","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"ref53","doi-asserted-by":"crossref","first-page":"5634","DOI":"10.3390\/app12115634","article-title":"IHSSAO: An improved hybrid salp swarm algorithm and aquila optimizer for UAV path planning in complex terrain","volume":"12","author":"Yao","year":"2022","journal-title":"Appl. Sci."},{"key":"ref54","first-page":"15","article-title":"Constrained-handling techniques based on evolutionary algorithms","volume":"19","author":"Guo","year":"2006","journal-title":"J. Hunan Univ. (Nat. Sci.)"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"114505","DOI":"10.1016\/j.eswa.2020.114505","article-title":"Neighborhood global learning based flower pollination algorithm and its application to unmanned aerial vehicle path planning","volume":"170","author":"Chen","year":"2021","journal-title":"Expert. Syst. 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