2014
DOI: 10.1016/j.apm.2013.10.052
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An effective krill herd algorithm with migration operator in biogeography-based optimization

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Cited by 212 publications
(77 citation statements)
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“…W it h th e help o f mu t at ion p rob ab ilit y (P m ) t h e Linear decreasing step [38] Binary krill herd [37] Fuzzy krill herd [36] Biogeogra phy based krill herd [35] Stud krill herd [34] Chaotic T heory [32,33] Adaptive channel equalizer [31] Clustering Approach [30] Oppositio n based learning [29] Krill …”
Section: )mentioning
confidence: 99%
See 1 more Smart Citation
“…W it h th e help o f mu t at ion p rob ab ilit y (P m ) t h e Linear decreasing step [38] Binary krill herd [37] Fuzzy krill herd [36] Biogeogra phy based krill herd [35] Stud krill herd [34] Chaotic T heory [32,33] Adaptive channel equalizer [31] Clustering Approach [30] Oppositio n based learning [29] Krill …”
Section: )mentioning
confidence: 99%
“…KHA imp lemented to solve different types of real world optimization prob lems either by hybridizing with other evolutionary algorith m to improve the basic KHA or by adding some mathemat ical concept [28][29][30][31][32][33][34][35][36][37][38]. Variant of KHA proposed till date is depicted in Fig.…”
Section: Introductionmentioning
confidence: 99%
“…In this research paper, using soft computing techniques, the solution for an optimal CH selection with congestion mitigation is provided. The proposed method uses a meta-heuristic search algorithm called as Biogeography-Based Krill Herd (BBKH) [41] for selection of CHs and congestion mitigation. Better results have been obtained compared with classical optimization techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Symbiotic Organisms (SOS).…”
Section: Problem Formulationmentioning
confidence: 99%
“…The well-known metaheuristics include the Krill Herd (KH) algorithm [4][5][6], the Cuckoo algorithm [7,8], and the Monarch Butterfly Optimization (MBO) [9,10], which can improve efficiency by using the Lévy flight operator and fly straight operator [11], the Hybridizing Harmony Search [12], the Bat algorithm [13], the Elephant Herding Optimization (EHO) [14], or the Earthworm optimization algorithm (EWA) [15].…”
Section: Literature Reviewmentioning
confidence: 99%