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Convergence analysis for particle swarm optimization (PSO) has been a hot topic. The convergence in several PSOs with a unified and simplified position updating formula was investigated in this paper where, according to the experimental methodology presented in one reference, all complex dynamics in particle swarm were taken into account. Experiments were conducted on four classical PSOs, and results...
A unified and simplified formula for position updating in the existing particle swarm optimization (PSO) has been presented in one reference. The weighted average of specified previous best positions in this formula implies the characteristics of different PSOs, whose effects on convergence were observed in this paper. Four representative PSOs were selected, and according to the experimental methodology...
Particle Swarm Optimization (PSO) has become a hot topic in the field of artificial intelligence technology, wherein the two issues including theoretical analysis and premature convergence have attracted lots of attention. However, due to complex dynamics in particle swarm, the former research has been conducted only in simplified systems. The latter has been dealt with only through application of...
Compared with common constraints, weak-constraint in the paper means the constraint should be satisfied only if it is possible. There are a lot of reality problem have weak-constraint. The good result of the problem is the feasible result which can meet weak-constraints as much as possible. The method of pruning the infeasible weak-constraints group to solve weak-constraints optimization problems...
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