数值优化问题
[English version]


* 数值优化问题 (Numerical Optimization Problem, NOP), 包括非线性规划问题, 或简称为NOP问题.

应用背景: 半导体器件与工艺的优化和综合问题; 工程优化问题; 曲线拟合

相关框架: 群集算法框架 (Swarm Algorithm Framework, SWAF)

相关算法: 包括(并行)遗传算法(Genetic Algorithm, GA), 粒子群优化算法 (Particle Swarm Optimization, PSO), 差分进化算法 (Differential Evolution, DE), 社会认知优化算法 (Social Cognitive Optimization, SCO), 类电磁机制算法 (Electromagnetism-like Mechanism Heuristic, EM), 等.

相关技术: 边界约束处理方法等式约束处理方法

相关论文

  • Xiao-Feng Xie, Jiming Liu. A compact multiagent system based on autonomy oriented computing, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), Compiégne, France, 2005: 38-44 [DOI]
  • Xiao-Feng Xie, Wen-Jun Zhang. SWAF: swarm algorithm framework for numerical optimization. Genetic and Evolutionary Computation Conference (GECCO), LNCS 3102, Washington, USA, 2004: 238-250
  • Xiao-Feng Xie, Wen-Jun Zhang. Solving engineering design problems by social cognitive optimization. Genetic and Evolutionary Computation Conference (GECCO), LNCS 3102, Washington, USA, 2004: 261-262 [Extended PDF] [Code]
  • Xiao-Feng Xie, Wen-Jun Zhang, De-Chun Bi. Handling equality constraints by adaptive relaxing rule for swarm algorithms. Congress on Evolutionary Computation (CEC), Oregon, USA, 2004: 2012-2016
  • Xiao-Feng Xie, Wen-Jun Zhang, De-Chun Bi. Optimizing semiconductor devices by self-organizing particle swarm. Congress on Evolutionary Computation (CEC), Oregon, USA, 2004: 2017-2022
  • Wen-Jun Zhang, Xiao-Feng Xie, De-Chun Bi. Handling boundary constraints for numerical optimization by particle swarm flying in periodic search space. Congress on Evolutionary Computation (CEC), Oregon, USA, 2004: 2307-2311
  • Wen-Jun Zhang, Xiao-Feng Xie. DEPSO: hybrid particle swarm with differential evolution operator. IEEE International Conference on Systems, Man & Cybernetics (SMCC), Washington D C, USA, 2003: 3816-3821 [Code]
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. A dissipative particle swarm optimization. Congress on Evolutionary Computation (CEC), Hawaii, USA, 2002: 1456-1461 [Code]
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Social cognitive optimization for nonlinear programming problems. International Conference on Machine Learning and Cybernetics (ICMLC). Beijing, China, 2002: 779-783
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Adaptive particle swarm optimization on individual level. International Conference on Signal Processing (ICSP), Beijing, China, 2002: 1215-1218
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Hybrid particle swarm optimizer with mass extinction. International Conference on Communication, Circuits and Systems (ICCCAS), Chengdu, China, 2002: 1170-1173
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Solving numerical optimization problems by simulating particle-wave duality and social information sharing. International Conference on Artificial Intelligence (IC-AI), Las Vegas, USA, 2002: 1163-1169
  • Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Incorporating knowledge in genetic algorithms for device synthesis. International Conference on Solid-State and Integrated-Circuit Technology (ICSICT), Shanghai, China, 2001: 1143-1146
  • Zhao Li, Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang. Realization of semiconductor device synthesis with the parallel genetic algorithm. Asia and South Pacific Design Automation Conference (ASP-DAC), Yokohama, Japan, 2001: 45-49
  • 谢晓锋, 张文俊, 张国瑞, 杨之廉. 差异演化的实验研究. 控制与决策, 2004, 19(1): 49-52
  • 谢晓锋, 鲁勇, 李钊, 阮骏, 姚依, 张文俊, 杨之廉. 半导体器件建模与优化系统. 半导体学报, 2003, 24(3): 327-331
  • 谢晓锋, 张文俊, 杨之廉. 一种防止浮点遗传算法早熟收敛的父代选择策略. 控制与决策, 2002, 17(5): 625-628
  • 谢晓锋, 张文俊, 杨之廉. 改进的用于半导体器件综合系统的遗传算法. 电子学报, 2002, 30(2): 184-186
  • 谢晓锋, 李钊, 阮骏, 姚依, 张文俊, 杨之廉. 应用遗传算法实现MOS器件综合. 半导体学报, 2002, 23(1): 95-101
  • 相关软件
    name type* description
    SCO_NOP SRC (JAVA) 社会认知优化算法 (SCO), 用于求解(带约束)数值优化问题
    DPSO SRC (C语言) 针对数值优化问题的耗散粒子群优化算法 [文档].
    DEPSO SRC (JAVA) 粒子群优化算法 (Particle Swarm Optimization, PSO) 和差分进化算法 (Differential Evolution, DE) 的混合算法 [文档],用于求解(带约束)数值优化问题, 包括周期性边界处理方法 [文档] & 针对等式约束的适应性松弛规则 [文档].
    MAOS_NOP SRC (JAVA) 多主体优化系统 (Project Portal): 用来求解数值优化问题.
    *缩写: SRC=源代码; BIN=执行代码
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