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Article overview
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Adaptive Chemical Reaction Optimization for Global Numerical Optimization | | James J.Q. Yu
; Albert Y.S. Lam
; Victor O.K. Li
; | | Date: |
9 Jul 2015 | | Abstract: | A newly proposed chemical-reaction-inspired metaheurisic, Chemical Reaction
Optimization (CRO), has been applied to many optimization problems in both
discrete and continuous domains. To alleviate the effort in tuning parameters,
this paper reduces the number of optimization parameters in canonical CRO and
develops an adaptive scheme to evolve them. Our proposed Adaptive CRO (ACRO)
adapts better to different optimization problems. We perform simulations with
ACRO on a widely-used benchmark of continuous problems. The simulation results
show that ACRO has superior performance over canonical CRO. | | Source: | arXiv, 1507.2492 | | Services: | Forum | Review | PDF | Favorites | |
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