Fuzzy genetic algorithms for combinatorial optimisation problems
The Genetic Algorithms (GAs) have been very successful in handling optimization problems which are difficult. However, the fundamental problem in GAs is premature convergence and it is strongly related to the loss of genetic diversity of the population. This thesis aims at proposing some technique t...
Saved in:
主要作者: | Varnamkhasti, Mohammad Jalali |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2012
|
主题: | |
在线阅读: | http://psasir.upm.edu.my/id/eprint/32238/1/IPM%202012%201R.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
由: Nazif, Habibeh
出版: (2010) -
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
由: Koh, Johnny Siaw Paw
出版: (2008) -
The anglerfish algorithm : a derivation of random incremental construction technique for solving combinatorial optimisation problems /
由: Pook, Mei Foong
出版: (2018) -
Combinatorial Optimization of Topological Design in Computer Communication Network
由: Garba Mohammed, Salisu
出版: (2004) -
Algorithms for an incremental bin-packing system /
由: Ku, Liang Ping
出版: (1996)