Integrated Intelligent Algorithms for Global Optimization

您当前的位置：

首页 >

文章列表页 >

Integrated Intelligent Algorithms for Global Optimization

更新时间：2025-07-09

- Integrated Intelligent Algorithms for Global Optimization
- Vol. 43, Issue 12, Pages: 60-64(2009)
- 作者机构：
  
  西安交通大学理学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： O224
- Online First：10 December 2009，
  
  Published：2009
- 稿件说明：
移动端阅览
Integrated Intelligent Algorithms for Global Optimization[J]. 2009, 43(12): 60-64.
DOI：

Integrated Intelligent Algorithms for Global Optimization[J]. 2009, 43(12): 60-64. DOI：

摘要

针对遗传算法、模拟退火算法等智能全局优化算法的集成问题开展研究

分析归纳了智能全局优化算法和局部搜索算法的一般规律和特性

给出了全局智能优化算法进行集成的统一框架——全局智能优化集成算法(IGIOA)

及IGIOA的设计要素

还给出了评价算法的优化性能指标、时间性能指标、鲁棒性能指标

以及将三指标综合的综合性能指标

为智能集成算法的选取和性能比较提供了依据.

Abstract

The systematical integrating of the intelligent algorithms for global optimization such as genetic algorithm

simulated annealing algorithm and so on is discussed. The properties and characteristics of these intelligent algorithms and local search algorithms for optimization are analyzed respectively. A unified structure for a class of integrated intelligent algorithms for global optimization

IGIOA

is given

and some key factors in designing a particular integrating intelligent algorithm are presented. Some indices for evaluation and comparison of the integrated intelligent algorithms are proposed involving the evaluations of algorithms for optimization

time cost

and robustness. And a weighted index to combine these three evaluations used in selecting and comparing integrating intelligent algorithms is presented.

关键词

Keywords

references

张可村,李焕琴.工程优化方法与应用[M].科学出版社,2006.

EIBEN A E, ARTS E H,VAN HEE K M. Global convergence of genetic algorithms: an infinite Markov chain analysis[C]∥Parallel Problem Solving from Nature.Heidelberg,Berlin:Springer-Verlag,1991:4-12.

RUDOLPH G.Convergence properties of canonical genetic algorithms[J].IEEE Trans on Neural Network,1994,5(1):96-101.

QI X, PALMIERI F. Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space:part I [J].IEEE Trans on Neural Network,1994,5(1):102-119.

FAIGLE U, KEN W. Some convergence results for probabilistic tabu search[J].ORSA J on Computing, 1992,4(1):2-37.

WANG L,SMITH K. On chaotic simulated annealing [J]. IEEE Transactions on Neural Networks,1998,9(4):716-718.

张讲社,徐宗本,梁怡.整体退火遗传算法及其收敛充要条件[J].中国科学:E辑,1997,27(2):154-164.

彭宏,王兴华.具有Elitist选择的遗传算法的收敛速度估计[J].科学通报,1997,42(2):144-147.

KEANE A J.Genetic algorithm optimization of multi-peak problems: studies in convergence and robustness[J].Artificial Intelligence in Engineering, 1995,9(2):75-83.

WANG L,WANG M. A hybrid algorithm for earliness-tardiness scheduling problem with sequence dependent setup time[C]∥Proc of the 36th IEEE Conf on Decision and Control.Piscataway,NJ,USA:IEEE, 1997:1219-1222.

粒子群优化算法的惯性权值递减策略研究. 西安交通大学学报,2006,40(1):53-56.

基于拉格朗日对偶的一类全局优化算法. 西安交通大学学报,2008,42(8):1031-1034.

一种电子设备电磁敏感性的仿真建模与优化设计方法. 西安交通大学学报,2008,42(6):688-692.

蚁群优化属性约简算法. 西安交通大学学报,2008,42(4):440-444.

电力系统多目标无功优化研究. 西安交通大学学报,2008,42(2):213-217.

一种基于种群熵的混沌小世界优化算法. 西安交通大学学报,2008,42(9):1137-1141.

小世界邻域优化的局部线性嵌入算法. 西安交通大学学报,2008,42(12):1486-1489.

基于小世界原理的模型降阶优化研究. 西安交通大学学报,2009,43(1):108-113.

系统辨识的粒子群优化方法. 西安交通大学学报,2009,43(2):116-120.

一种基于流形距离的迭代优化聚类算法. 西安交通大学学报,2009,43(5):76-79.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Pareto Optimality Based Genetic Algorithm in Web Services Composition

Global Optimization Method of the Design for Multi-Layer Planar Inductors

Global Optimization Algorithm Based on Lagrangian Dual

Profiling Based Optimization Method for CPU-GPU Heterogeneous Parallel Processing System

A Periodical Multi-Installment Scheduling Model and Algorithm for Divisible Loads in Distributed Computing Systems

Related Author

赵晓昳 1

张星 1

符锐 1

董渭清 1

胡焕耀 1

耿莉

邵志标

Related Institution

西安交通大学电子与信息工程学院

中兴通讯股份有限公司上海研发中心

School of Electronics and Information Engineering, Xi'an Jiaotong University

School of Network Engineering, Zhoukou Normal University

School of Computer Science and Technology, Xidian University

⁰