2023
DOI: 10.1016/j.eswa.2023.120367
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Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

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Cited by 21 publications
(2 citation statements)
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“…Similar scenarios were considered for the comparison, with each algorithm operating under the conditions of 1000 iterations and 30 dimensions. Specifically, the Fibonacci search-based Moth Flame Optimizer [42] and the Bacterial Foraging Optimization with Chaotic Chemotaxis Step Length, Gaussian Mutation, and Chaotic Local Search [43] were selected as the comparison algorithms. Remarkably, our proposed method exhibits a greater number of performance improvements in the presented results.…”
Section: First Study Casementioning
confidence: 99%
“…Similar scenarios were considered for the comparison, with each algorithm operating under the conditions of 1000 iterations and 30 dimensions. Specifically, the Fibonacci search-based Moth Flame Optimizer [42] and the Bacterial Foraging Optimization with Chaotic Chemotaxis Step Length, Gaussian Mutation, and Chaotic Local Search [43] were selected as the comparison algorithms. Remarkably, our proposed method exhibits a greater number of performance improvements in the presented results.…”
Section: First Study Casementioning
confidence: 99%
“…Another important technique in this group is the Ant Colony Optimization (ACO) algorithm, which is motivated by the direction of the food source of ants seeking behaviour from the colony 22 . Krill Herd (KH) 23 , Cuckoo Search Algorithm (CSA) 24 , Ant Lion Optimizer (ALO) 25 , Artificial Bee Colony (ABC) 26 , 27 , Bat Algorithm (BA) 28 , Firefly Algorithm (FA) 29 , 30 , Grey-Wolf Optimizer (GWO) 31 , 32 , Manta-Ray Foraging Optimization (MRFO) 33 , Salp Swarm Optimization (SSA) 34 , artificial rabbit optimizer 35 , Whale Optimization Algorithm (WOA) 36 , moth flame optimization 37 , and Marine-Predator Algorithm (MPA) 38 are few examples of swarm-based algorithms that are recently reported.…”
Section: Introductionmentioning
confidence: 99%