全局数值优化的自适应化学反应优化
Adaptive Chemical Reaction Optimization for Global Numerical Optimization
摘要：
化学反应优化（CRO）是一种新提出的基于化学反应的元分析方法，已被应用于离散和连续领域的许多优化问题。为了减轻调整参数的努力，本文减少了在规范的CRO优化参数的数量，并开发了一个自适应的计划来发展他们。我们提出的自适应CRO（ACRO）适应更好地适应不同的优化问题。我们使用ACRO在连续问题的广泛使用的基准上进行模拟。仿真结果表明，ACRO具有优越的性能比典型的CRO。
英文摘要：
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.
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