ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

A multi-objective particle swarm optimization algorithm based on dynamic crowding distance (DCD-MOPSO) was proposed. Applying the improved quick sorting to reduce the time for computation, both the dynamic inertia weight and acceleration coefficients were used in the algorithm to explore the search space more efficiently. A new diversity strategy called dynamic crowding distance was used to ensure sufficient diversity amongst the solutions of the non-dominated fronts. Some benchmark functions and the optimization of four-bar plane truss were tested to compare with the performance of DCD-MOPSO and NSGA-Ⅱ. The results show that DCD-MOPSO has better convergence with even distributing of Pareto set.