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Road traffic congestion has aroused earnest concern in the public and the academic. Two apparent features of congested traffic networks are stochasticity and time dependency. In fact, different types of travelers have different route choice preferences, regarding to not only timeliness but also expense, which may involve multiple conflicting criteria. In this paper, a stochastic time-dependent network...
This paper proposes a method for tuning compilations to improve the size, execution time and reliability of the final application altogether. Our approach implements a genetic strategy with a multi-objective evolution that takes advantage of the NSGA-II algorithm for selecting the best compilations. Experiments show that reliability can be improved by efficiently exploring the compiler optimization...
High voltage direct current transmission system is for long-distance transmission of electricity. It consists of six functional subsystems. The redundancy and reliability of sub systems are optimized at the same time is an urgent engineering problem. This paper proposed an innovative method using genetic algorithm to optimize the assignment problem of redundancy and reliability of sub systems. The...
Maintenance management is certainly the important factor to support the successfulness of Small and Medium Industries (SMIs). The SMIs will gain larger profits with the correctness of maintenance system which can minimize the expenses incurred. The application with Decision Making Grid (DMG) for appropriate maintenance strategy has been achieved with favorable outcome. However, the problems, i.e....
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic...
This paper presents a method for test cases generation from a state machine. This paper investigates variable chromosome length genetic algorithm for automatically generating state based test cases. For efficiency we developed a Genetic algorithm that optimize and select test case which are covering maximum number of states and transitions on distinct chromosome length. Variable chromosome Length...
This paper considers a system consisting of linearly ordered multistate components. Each component can have different states: from complete failure, up to perfect functioning. A performance rate is associated with each state. The system fails if in each of at least consecutive overlapping groups of consecutive components (windows) the sum of the performance rates of components belonging to...
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