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CEC
2007
IEEE
13 years 7 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
AMC
2004
115views more  AMC 2004»
13 years 7 months ago
Performance comparison of memetic algorithms
Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve...
Jason G. Digalakis, Konstantinos G. Margaritis
ACMMSP
2004
ACM
92views Hardware» more  ACMMSP 2004»
14 years 29 days ago
Instruction combining for coalescing memory accesses using global code motion
Instruction combining is an optimization to replace a sequence of instructions with a more efficient instruction yielding the same result in a fewer machine cycles. When we use it...
Motohiro Kawahito, Hideaki Komatsu, Toshio Nakatan...
CEC
2009
IEEE
14 years 7 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
27
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ANTSW
2004
Springer
13 years 11 months ago
Mesh-Partitioning with the Multiple Ant-Colony Algorithm
ed Abstract We present two heuristic mesh-partitioning methods, both of which build on the multiple ant-colony algorithm in order to improve the quality of the mesh partitions. The...
Peter Korosec, Jurij Silc, Borut Robic