This paper presents a new multi-objective evolutionary algorithm which consists of a hybrid between a particle swarm optimization (PSO) approach and scatter ...
Abstract. This paper presents a new multi-objective evolutionary algo- rithm which consists of a hybrid between a particle swarm optimization.
This paper presents a new multi-objective evolutionary algorithm which consists of a hybrid between a particle swarm optimization (PSO) approach and scatter ...
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This paper presents a comprehensive review of the vari- ous MOPSOs reported in the specialized literature, and includes a classification of the approaches, ...
This paper presents a multi-objective particle swarm optimization (MOPSO) algorithm based on a decomposition approach, which is intended for solving continuous ...
This paper presents a multi-objective particle swarm optimization (MOPSO) algorithm based on a decomposition approach, which is intended for solving continuous ...
This paper presents a new hybrid optimizer in which an innovative optimal particles local search strategy on basis of bound optimization by quadratic ...
This chapter presents a hybrid between a particle swarm optimization (PSO) approach and scatter search. The main motivation for developing this approach is ...
In the MOPs context, PSO has been combined with several local search methods, such as scatter search [19], synchronous particle local search [20], gradient- ...
Mar 9, 2022 · This helps guide the particles to search for the globally optimal particles. In CCHMOPSO, nondominant particles and new particles are obtained ...
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