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Recently, variants of hybrid PSO algorithms are presented, but hybrid Optimization technique combining classical local line search with PSO is less focused on. In this paper, we proposed a new hybrid cooperative evolutionary algorithm by integrating local line search technique and basic PSO. The performance of our algorithm tested using four typical nonlinear optimization problems is reported and...
Most path planning algorithms existed have disadvantages in space representation, constraints handling or computation efficiency. Combining particle swarm optimization with path planning problem for unmanned aerial vehicles (UAVs), a new path planner for aerial vehicles based on modified PSO algorithm is presented. Path planning problem is modeled as a 5-element array. Incorporating constraints into...
A new hybrid particle swarm optimization (PSO) algorithm with adaptive inertia weight factor (AIWF) is proposed. By incorporating chaotic local research method, it proposed the PSO which combined with chaos (CPSO), and applied it in evolving the artificial neural network (ANN). Then, based on the actual load data provided by a regional power grid in the south of China, the proposed method is used...
Recently particle swarm optimization (PSO) algorithm gained popularity and employed in many engineering applications because of its simplicity and efficiency. The performance of the PSO algorithm can further be improved by using hybrid techniques. There are various hybrid PSO algorithms published in the literature where researchers combine the benefits of PSO with other heuristics algorithms. In this...
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