Fuzzy assembly line balancing using genetic algorithms

被引:49
作者
Gen, M
Tsujimura, Y
Li, YX
机构
关键词
Genetic Algorithms; assembly line balancing; combinatorial optimization; fuzzy numbers;
D O I
10.1016/S0360-8352(96)00277-X
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we implement genetic algorithms to synthesis fuzzy assembly line balancing problem which is well-known as a NP-hard problem. The genetic operators concerned with the feasibility of chromosomes will be discussed, and its performance will be shown with a numerical example.
引用
收藏
页码:631 / 634
页数:4
相关论文
共 10 条
[1]  
ALLAN L, 1964, MANAGE SCI, V11, P308
[2]  
Anderson E. J., 1994, ORSA Journal on Computing, V6, P161, DOI 10.1287/ijoc.6.2.161
[3]  
CHANG IS, 1993, JIMA SPRING FALL M, P92
[4]   ASSEMBLY-LINE BALANCING - DYNAMIC-PROGRAMMING WITH PRECEDENCE CONSTRAINTS [J].
HELD, M ;
KARP, RM ;
SHARESHIAN, R .
OPERATIONS RESEARCH, 1963, 11 (03) :442-459
[5]  
KIM YG, 1994, J KOR I IND ENG, V20, P15
[6]  
LEU YY, 1994, DECISION SCI, V25, P581, DOI 10.1111/j.1540-5915.1994.tb01861.x
[7]  
Michalewicz Z., 1994, GENETIC ALGORITHMS P
[8]  
TSUJIMURA Y, 1995, 17 INT C COMP IND EN
[9]  
TSUJIMURA Y, 1995, P 11 FUZZ SYST S OK
[10]  
TSUJIMURA Y, 1994, P 10 FUZZ SYST S OS, P49