TY - GEN
T1 - A modified particle swarm optimizer with a novel operator
AU - Cheng, Ran
AU - Yao, Min
PY - 2010
Y1 - 2010
N2 - This paper proposes a simple and effective modified particle swarm optimizor with a novel operator. The aim is to prevent premature convergence and improve the quality of solutions. The standard PSO is shown to have no ability to perform a fine grain search to improve the quality of solutions as the number of iterations is increased, although it may find the near optimal solutions much faster than other evolutionary algorithms. The modified PSO algorithm presented in this paper is able to find near optimal solutions as fast as the standard PSO and improve their quality in the later iterations. Compared with the standard PSO, benchmark tests are implemented and the result shows that our modified algorithm successfully prevents premature convergence and provides better solutions.
AB - This paper proposes a simple and effective modified particle swarm optimizor with a novel operator. The aim is to prevent premature convergence and improve the quality of solutions. The standard PSO is shown to have no ability to perform a fine grain search to improve the quality of solutions as the number of iterations is increased, although it may find the near optimal solutions much faster than other evolutionary algorithms. The modified PSO algorithm presented in this paper is able to find near optimal solutions as fast as the standard PSO and improve their quality in the later iterations. Compared with the standard PSO, benchmark tests are implemented and the result shows that our modified algorithm successfully prevents premature convergence and provides better solutions.
KW - particle swarm optimization
KW - premature convergence
KW - quality of solutions
UR - https://www.scopus.com/pages/publications/78649968744
U2 - 10.1007/978-3-642-16527-6_37
DO - 10.1007/978-3-642-16527-6_37
M3 - Conference article published in proceeding or book
AN - SCOPUS:78649968744
SN - 3642165265
SN - 9783642165269
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 293
EP - 301
BT - Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings
T2 - 2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
Y2 - 23 October 2010 through 24 October 2010
ER -