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This paper studies the earliness and tardiness scheduling problem on the single machine with fuzzy processing times. A new membership function of the fuzzy processing times is established. Under some assumptions, the E/T scheduling model with fuzzy processing time is formulated, and a criterion to rank the different fuzzy schemes is also presented. Since the problem is a NP-hard problem, Genetic algorithms...
The traveling salesman problem (TSP) is a classical combinatorial optimization problem of operations research's area, which is simple to state. However, this problem is known to be NP-hard, and cannot be solved exactly in polynomial time. Therefore, it would seem to be an ideal candidate for nonstandard algorithmic approaches, such as natural computation. Natural computation is the computational version...
Due to the widespread availability of the Internet, large scale distributed projects in manufacturing are becoming popular. Besides resource constraints, there exist precedence constraints among activities within each project. This paper presents a hybrid genetic algorithm to solve the resource-constrained multi-project scheduling problem (RCMPSP), which is well known NP-hard problem. Objectives described...
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