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Particle Swarm Collaborative Practicability Algorithm Based on Partial Differential Exact Solution
2017
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
For the particle swarm collaborative practicability algorithm, when extended from single objective to multiobjective problem, the storage and maintenance of the partial differential exact solution sets occurs. And the selection of global and personal exact solutions, balance between exploitation and exploration and other problems also occur. In this paper, the diversity and evolution state of population is evaluated on the distribution and differential entropy, in the new objective space called
doi:10.21311/001.39.11.16
fatcat:o6bgq4u4c5gkhhgo44ot4crofy