A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems
•A hybrid metaheuristic optimization algorithm that combines strong points of firefly and particle swarm algorithms.•A local search strategy is proposed by controlling previous global best fitness value.•Proposed HFPSO are compared with standard, other hybrid and memetic algorithms in the limited fu...
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Published in | Applied soft computing Vol. 66; pp. 232 - 249 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2018
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Subjects | |
Online Access | Get full text |
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