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Titlebook: Swarm, Evolutionary, and Memetic Computing; 6th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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發(fā)表于 2025-3-30 11:34:33 | 只看該作者
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發(fā)表于 2025-3-30 13:52:59 | 只看該作者
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發(fā)表于 2025-3-30 17:24:29 | 只看該作者
0302-9743 ence on Swarm, Evolutionary,?and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in?December 2015..The 23 full papers presented in this volume were carefully reviewed?and selected from 40 submissions for inclusion in the proceedings. The?papers cover a wide range of topics in swarm, evolut
54#
發(fā)表于 2025-3-30 22:28:51 | 只看該作者
Conference proceedings 2016mputing, SEMCCO 2015, held in Hyderabad, India, in?December 2015..The 23 full papers presented in this volume were carefully reviewed?and selected from 40 submissions for inclusion in the proceedings. The?papers cover a wide range of topics in swarm, evolutionary, memetic and?other intelligent compu
55#
發(fā)表于 2025-3-31 03:08:07 | 只看該作者
56#
發(fā)表于 2025-3-31 05:56:50 | 只看該作者
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發(fā)表于 2025-3-31 12:05:25 | 只看該作者
Robot Workcell Layout Optimization Using Firefly Algorithm,the total distance travel of the robot arm indirectly minimises the cycle time of the robot workcell. Simulation results show the sequence pair representation method performs better efficiency among the two methods applied in terms of reducing the distance.
58#
發(fā)表于 2025-3-31 14:42:57 | 只看該作者
,Particle Swarm Optimization Based on the Winner’s Strategy,swarm size is used for better exploration. Proposed method is compared with CSO and CCPSO2, which are available to solve large scale optimization problems. Statistical results show that proposed method performs well for separable as well as non separable problems.
59#
發(fā)表于 2025-3-31 19:07:02 | 只看該作者
60#
發(fā)表于 2025-3-31 22:38:10 | 只看該作者
Black Hole Artificial Bee Colony Algorithm, exploration ability while maintaining the original exploitation ability of the ABC algorithm. The suggested algorithm is judged against 12 benchmark test functions and accessed with original ABC and its two modifications, that are Best So Far ABC (BSFABC) and Modified ABC (MABC). The results reveals that BHABC is a competitive variant of ABC.
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