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Like other stochastic algorithms, particle swarm optimization algorithm (PSO) has shown a good performance over global numerical optimization.
Experimental results obtained from a test on several benchmark functions showed that the performance of proposed AMPSONS algorithm is superior to five other ...
In order to enhance its performance, this paper proposes a hybrid PSO algorithm, called DNSPSO, which employs a diversity enhancing mechanism and neighborhood ...
Abstract. Like other stochastic algorithms, particle swarm optimiza- tion algorithm (PSO) has shown a good performance over global nu- merical optimization.
Feb 20, 2013 · This paper proposes a hybrid PSO algorithm, called DNSPSO, which employs a diversity enhancing mechanism and neighborhood search strategies.
Particle swarm optimization (PSO) has shown an effective performance for solving variant benchmark and real-world optimization problems.
In order to enhance its performance, this paper proposes a hybrid PSO algorithm, called DNSPSO, which employs a diversity enhancing mechanism and neighborhood ...
A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation.
Get details about the chapter of A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adaptive Mutation from book ...
A new local neighborhood search strategy that promotes the exploitation ability of algorithm by combining diversity mechanism and neighborhood search ...