This paper presents a method that improves the simple genetic algorithms (SGA) with bipolar compressed functional fitness scaling and selection operator based on crowding model.

• 运用双极性压缩函数适应度定标和基于排挤方法的选择算子改进标准遗传算法（SGA），使其成为简单通用、快速收敛的并行全局搜索算法。