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
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]
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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
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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
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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
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
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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].
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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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