Title
Item-Location Assignment Using Fuzzy Logic Guided Genetic Algorithms
Abstract
In today's logistics environment, large-scale combinatorial problems will inevitably be met during industrial operations. This paper deals with a novel real-world optimization problem, called the item-location assignment problem, faced by a logistics company in Shenzhen, China. The objective of the company in this particular operation is to assign items to suitable locations such that the required...
Year
DOI
Venue
2008
10.1109/TEVC.2008.924426
IEEE Trans. Evolutionary Computation
Keywords
Field
DocType
differential evolution,assignment problem,testing,branch and bound,tabu search,linear programming,optimization problem,stochastic processes,logistics,genetic algorithms,fuzzy logic,optimization,simulated annealing,modeling,mutation rate,genetic algorithm
Mathematical optimization,Branch and bound,Search algorithm,Crossover,Fuzzy logic,Algorithm,Assignment problem,Optimization problem,Genetic algorithm,Mathematics,Tabu search
Journal
Volume
Issue
ISSN
12
6
1089-778X
Citations 
PageRank 
References 
7
0.55
16
Authors
3
Name
Order
Citations
PageRank
Henry C. W. Lau130133.27
T. M. Chan270.55
W. T. Tsui3634.83