全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

拥挤距离排序的多目标文化粒子群优化算法

, PP. 1406-1410

Keywords: 文化粒子群算法,多目标进化算法,自适应参数调整,拥挤距离

Full-Text   Cite this paper   Add to My Lib

Abstract:

为解决工程优化设计问题,引入文化进化框架,提出一种拥挤距离排序的多目标文化粒子群算法.采用拥挤距离排序算子,并删除密集区域的多余粒子,以保证Pareto前沿的分布均匀性;基于拥挤距离值,从精英知识和条件知识中选择处于最分散区域的粒子,并将其分别作为全局和局部最优,以增强算法全局寻优能力;依据拥挤距离的变化,动态调整粒子群飞行参数,以提高算法收敛效率.通过标准测试问题以及与其他算法的对比,表明了所提出算法的有效性和鲁棒性.

References

[1]  Li X D. A nondominated sorting particle swarm optimizer for multiobjective optimization[C]. Proc of Genetic and Evolutionary Computation. Berlin, Germany, 2003, 7: 37-48.
[2]  Coello C, Pulido G, Lechuga M. Handling multiple objectives with particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279.
[3]  Deb K, Pratap A, Agarwal S. A fast and elitist multi-objective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
[4]  黄海燕, 顾幸生. 文化差分进化算法及其在化工过程建模中的应用[J]. 化工学报, 2009, 60(3): 668-674.
[5]  (Huang H Y, Gu X S. Cultural differential evolution algorithm and its application in chemical process modeling[J]. CIESC Journal, 2009, 60(3): 668-674.)
[6]  Ricardo L B, Carlos A C C. Cultured differential evolution for constrained optimization[J]. Computer Methods in Applied Mechanics and Engineering. 2006, 195(7): 4303-4322.
[7]  Kennedy J, Eberhart R C. Particle swarm optimization [C]. Proc of IEEE International Conference on Neutral Networks, Australia, 1995, 4: 1942-1948.
[8]  Li Z K, Zhu Z C, Zhang H Q. DSMOPSO: A distance sorting based multiobjective particle swarm optimization algorithm[C]. Proc of 6th International Conference on Natural Computation, China, 2010: 2749-2753.
[9]  Daneshyari M, Yen G G. Cultural-based multiobjective particle swarm optimization[J]. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 2010, (9), Article in Press.
[10]  Robert R G. An introduction to cultural algorithms[C] Proc of the 3th Annual Conf. on Evolution Programming. Singapore: World Scientific Publishing, 1994: 131-136.
[11]  Zitzler E, Deb K, Thiele L. Comparison of multi-objective evolutionary algorithms: Empirical results[J]. IEEE Transactions on Evolutionary Computation, 2000, 18(2): 173-195.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133