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/methodology/approach: The problem is formulated as a Mixed Integer Linear Programming (MILP) model. A new hybrid genetic algorithm (GA …)-particle swarm optimization (PSO) metaheuristic algorithm is proposed which showed to be applicable and reliable comparing its … establishing a new agent has economic justification or not. Findings: Numerical results of new proposed algorithm comparing with …
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This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively...
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genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and [lambda … municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively. Originality … intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to …
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