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arXiv · 1502.00197

An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization

James J. Q. Yu·Victor O. K. Li·Albert Y. S. Lam
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Abstract

Optimization techniques are frequently applied in science and engineering research and development. Evolutionary algorithms, as a kind of general-purpose metaheuristic, have been shown to be very effective in solving a wide range of optimization problems. A recently proposed chemical-reaction-inspired metaheuristic, Chemical Reaction Optimization (CRO), has been applied to solve many global optimization problems. However, the functionality of the inter-molecular ineffective collision operator in the canonical CRO design overlaps that of the on-wall ineffective collision operator, which can potential impair the overall performance. In this paper we propose a new inter-molecular ineffective collision operator for CRO for global optimization. To fully utilize our newly proposed operator, we also design a scheme to adapt the algorithm to optimization problems with different search space characteristics. We analyze the performance of our proposed algorithm with a number of widely used benchmark functions. The simulation results indicate that the new algorithm has superior performance over the canonical CRO.

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James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam. 2015-02-01. An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization. https://doi.org/10.1109/cec.2014.6900234

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