Orthogonal chemical reaction optimization algorithm for global numerical optimization problems
作者：
Highlights：
• An improved chemical reaction optimization (CRO) method is proposed.
• Quantization orthogonal crossover (QOX) serves as a global search operator.
• QOX can make a systematic and rational search in the solution space.
• Our framework is easy to implement.
• Our framework is effective in solving optimization problems.
摘要
•An improved chemical reaction optimization (CRO) method is proposed.•Quantization orthogonal crossover (QOX) serves as a global search operator.•QOX can make a systematic and rational search in the solution space.•Our framework is easy to implement.•Our framework is effective in solving optimization problems.
论文关键词：Chemical reaction optimization,Orthogonal experimental design,Quantization orthogonal crossover,Global numerical optimization
论文评审过程：Available online 29 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.045
