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Maximizing the lifetime of a sensor network by scheduling operations of sensors is an effective way to construct energy efficient wireless sensor networks. After the random deployment of sensors in the target area, the problem of finding the largest number of disjoint sets of sensors, with every set being able to completely cover the target area, is nondeterministic polynomial-complete. This paper...
Through analyzing the present genetic operators to solve the job shop scheduling problem, a inversion order number genetic algorithm is proposed. In view of the quality of the inversion order number, this algorithm measures the population diversity by the relative inversion order number. It uses the information provided by the inversion order number of the individual and the offspring is generated...
A genetic algorithm (GA) was proposed to solve the resource constrained project scheduling problem (RCPSP), in which resources are renewable and there is a single mode to perform each activity. This work employed genetic algorithms to schedule project activities to minimize make-span subject to precedence constraints and resources availability. In the genetic algorithm, a new permutation of priority-based...
TTCAN protocol reduces the jitter of message and makes full use of bandwidth by introducing time-trigger mode into CAN bus. On the other hand it reduces the reliability under electromagnetic interference (EMI). Conclusion is drawn that the performance and reliability canpsilat get the minimum value simultaneously in this paper. In order to improve the reliability of TTCAN bus under EMI, Generic Algorithms...
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