Salp swarm algorithm simulates the behaviour of salps in the salp chain during navigating and foraging in oceans. Salp swarm optimizer is inspired by salps and recently proposed metaheuristics search algorithm is based on ocean Salps. The salps form a chain (salp chain) for achieving precise locomotion by using coordinate changes. In the proposed research, a hybrid variant of salp swarm algorithm has been developed using a simulated annealing algorithm and named as SSA-SA. The proposed algorithm has been tested for various unimodal, multimodal and fixed-dimensions problems and corresponding results are compared with classical salp swarm optimizer. Experimentally, it has been observed that the proposed hybrid optimizer perform much better than other recently proposed algorithms and has been applied to solve power system optimization problems including multi-objective scheduling and dispatch problem of the realistic power system.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Salp swarm algorithm simulates the behaviour of salps in the salp chain during navigating and foraging in oceans. Salp swarm optimizer is inspired by salps and recently proposed metaheuristics search algorithm is based on ocean Salps. The salps form a chain (salp chain) for achieving precise locomotion by using coordinate changes. In the proposed research, a hybrid variant of salp swarm algorithm has been developed using a simulated annealing algorithm and named as SSA-SA. The proposed algorithm has been tested for various unimodal, multimodal and fixed-dimensions problems and corresponding results are compared with classical salp swarm optimizer. Experimentally, it has been observed that the proposed hybrid optimizer perform much better than other recently proposed algorithms and has been applied to solve power system optimization problems including multi-objective scheduling and dispatch problem of the realistic power system. 88 pp. Englisch. N° de réf. du vendeur 9786202798273
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Salp swarm algorithm simulates the behaviour of salps in the salp chain during navigating and foraging in oceans. Salp swarm optimizer is inspired by salps and recently proposed metaheuristics search algorithm is based on ocean Salps. The salps form a chain (salp chain) for achieving precise locomotion by using coordinate changes. In the proposed research, a hybrid variant of salp swarm algorithm has been developed using a simulated annealing algorithm and named as SSA-SA. The proposed algorithm has been tested for various unimodal, multimodal and fixed-dimensions problems and corresponding results are compared with classical salp swarm optimizer. Experimentally, it has been observed that the proposed hybrid optimizer perform much better than other recently proposed algorithms and has been applied to solve power system optimization problems including multi-objective scheduling and dispatch problem of the realistic power system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786202798273
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Taschenbuch. Etat : Neu. Solution To Energy And Environmental Problems Of Electric Power System | Using Hybdrid Meta-heuristics Search Algorithms | Vikram Kumar | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202798273 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 119219859
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