A Constrained Particle Swarm Optimization Algorithm with Oracle Penalty Method
2013 ◽
Vol 303-306
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pp. 1519-1523
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Keyword(s):
To solve constrained optimization problems, an Oracle penalty method-based comprehensive learning particle swarm optimization (OBCLPSO) algorithm was proposed. First, original Oracle penalty was modified. Secondly, the modified Oracle penalty method was combine with comprehensive learning particle swarm optimization algorithm. Finally, experimental results and comparisons were given to demonstrate the optimization performances of OBCLPSO. The results show that the proposed algorithm is a very competitive approach for constrained optimization problems.
2020 ◽
2018 ◽
Vol 58
(4)
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pp. 1505-1522
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2011 ◽
Vol 31
(1)
◽
pp. 85-88
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2011 ◽
Vol 43
(8)
◽
pp. 843-866
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2011 ◽
Vol 30
(5)
◽
pp. 1218-1221
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2008 ◽
Vol 1
(3)
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pp. 425-453
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2013 ◽
Vol 427-429
◽
pp. 1934-1938