化学反应优化的分子间自适应碰撞方案
An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization
摘要：
最优化技术经常应用于科学和工程研究与开发。进化算法作为一种通用的元启发式算法，在解决各种优化问题中表现出了很好的效果。最近提出的化学反应启发式元启发式，化学反应优化（CRO），已被应用于解决许多全局优化问题。然而，在典型的CRO设计中，分子间无效碰撞算子的功能与壁上无效碰撞算子的功能重叠，这可能会损害整体性能。本文提出了一种新的分子间无效碰撞算子用于CRO的全局优化。为了充分利用我们新提出的算子，我们还设计了一个方案，以适应不同的搜索空间特性的优化问题的算法。我们分析了我们提出的算法的性能与一些广泛使用的基准测试功能。仿真结果表明，新算法的性能优于标准的CRO。
英文摘要：
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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