A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed algorithms employs three techniques: adaptive grid algorithms, which can obtain the valid density value of particles in Archive set Pareto optimal solution searching algorithm, which can equalize the ability of global and local searching Archive pruning techniques, which can remove inferior particles in Archive set to fix the size of Archive set. The algorithm is applied to solve multi-objective optimal regulation of Three Gorges. The simulation performance indicates the effectiveness of the presented algorithm with regard to solving the large scale complex multi-objective optimization problem.

matlab算法程序-多目标粒子群算法\fitness.m
...............................\GetFai.m
...............................\MaximumSpread.m
...............................\mycon.m
...............................\ParticleSwarmOpt.m
...............................\Script.m
...............................\ScriptScript.m
...............................\Spacing.m
...............................\Untitled.m
matlab算法程序-多目标粒子群算法

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．