Memetic binary particle swarm optimization for discrete optimization problems
In recent decades, many researchers have been interested in algorithms inspired by the observation of natural phenomena to solve optimization problems. Among them, meta-heuristic algorithms have been extensively applied in continuous (real) and discrete (binary) search spaces. Such algorithms are ap...
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Main Authors: | , , |
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Format: | Article |
Published: |
Elsevier Inc.
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/58528/ http://dx.doi.org/10.1016/j.ins.2014.12.016 |
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Institution: | Universiti Teknologi Malaysia |
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