Fuzzy Adaptive Swarm Optimization Algorithm for Discrete Environments

被引：0

作者：

Zahedi, M. Hadi ^{[1
]}

Haghighi, M. Mehdi S. ^{[2
]}

机构：

[1] Ferdowsi Univ Mashhad, Fac Engn, Dept Comp, Mashhad, Iran

[2] Sadjad Institute of Higher Education, Fac Engn, Comp Dept, Mashhad, Iran

来源：

INNOVATIONS IN COMPUTING SCIENCES AND SOFTWARE ENGINEERING | 2010年

关键词：

Particle Swarm Optimization; Fuzzy set and systems; Traveling Salesman Problem; PARTICLE SWARM; IDENTIFICATION; CONVERGENCE;

D O I：

10.1007/978-90-481-9112-3_36

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The heuristic methods have been widely developed for solution of complicated optimization methods. Recently hybrid methods that are based on combination of different approaches have shown more potential in this regard. Fuzzy simulation and Particle Swarm Optimization algorithm are integrated to design a hybrid intelligent algorithm to solve the np-hard problem such as travelling salesman problem in efficient and faster way of solutions. The results obtained with the proposed method show its potential in achieving both accuracy and speed in small and medium size problems, compared to many advanced methods.

引用

页码：213 / 220

页数：8

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