Two scheduling problems with fuzzy due-dates
Fuzzy Sets and Systems - Special issue on industrial engineering methods
Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems
Fuzzy Sets and Systems - Special issue on operations research
A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Ranking and defuzzification methods based on area compensation
Fuzzy Sets and Systems
Multi-objective scheduling with fuzzy due-date
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
AllelesLociand the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
One Machine Scheduling Problem with Fuzzy Random Due-Dates
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making
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The scheduling problems with fuzzy processing times and fuzzy due dates are concerned in this paper. The fuzzy earliness and fuzzy tardiness are proposed based on the concepts of subtraction and maximum of any two fuzzy numbers, which are defined by using the well-known ''Extension Principle'' in fuzzy sets theory. The objective function is taken as the weighted sum of fuzzy earliness and fuzzy tardiness through the concept of addition among fuzzy numbers. In this case, the objective function turns into a fuzzy-valued function. The purpose of this paper is to obtain an optimal schedule that minimizes this fuzzy-valued objective function. The genetic algorithm will be invoked to solve this problem. Two numerical examples are also provided to clarify the discussions in this paper by using the commercial software MATLAB.