This paper presents an economic comparison between HVAC and HVDC transmission systems for an offshore wind farm with 500 MW installed power. Both transmission systems will be compared in terms of energy losses and tot...
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ISBN:
(纸本)9781467319720
This paper presents an economic comparison between HVAC and HVDC transmission systems for an offshore wind farm with 500 MW installed power. Both transmission systems will be compared in terms of energy losses and total investment costs. The main objective is to obtain optimal trade-offs between these criteria when different distances to shore are considered.
At present, the successful operations of the fourth party logistics (4PL) in practice gradually demonstrate that it is an effective mode to integrate the supply chain’s complicated resources rationally, efficiently a...
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ISBN:
(纸本)9781424415304;1424415306
At present, the successful operations of the fourth party logistics (4PL) in practice gradually demonstrate that it is an effective mode to integrate the supply chain’s complicated resources rationally, efficiently and flexibly. In order to thoroughly analyze the supply chain resources integration problem in 4PL from a quantitative perspective and to guide the integration practice, based on the previous study results, this paper takes the multi-objectiveoptimization action of the integration decision as an analysis pivot, builds a improved ant algorithm to resolve the integration decision optimization process. Finally, the reasonability and feasibility of the algorithm are validated through the simulation of a calculation case.
This paper presents an economic comparison between HVAC and HVDC transmission systems for an offshore wind farm with 500 MW installed power. Both transmission systems will be compared in terms of energy losses and tot...
详细信息
ISBN:
(纸本)9781467319706
This paper presents an economic comparison between HVAC and HVDC transmission systems for an offshore wind farm with 500 MW installed power. Both transmission systems will be compared in terms of energy losses and total investment costs. The main objective is to obtain optimal tradeoffs between these criteria when different distances to shore are considered.
The pylon structure of an airplane is very complex, and its high-fidelity analysis is quite time-consuming. If posterior preference optimizationalgorithm is used to solve this problem, the huge time consumption will ...
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The pylon structure of an airplane is very complex, and its high-fidelity analysis is quite time-consuming. If posterior preference optimizationalgorithm is used to solve this problem, the huge time consumption will be unacceptable in engineering practice due to the large amount of evaluation needed for the algorithm. So, a new interactive optimizationalgorithm-interactive multi-objective particle swarm optimization （IMOPSO） is presented. IMOPSO is efficient, simple and operable. The decision-maker can expediently determine the accurate preference in IMOPSO. IMOPSO is used to perform the pylon structure optimization design of an airplane, and a satisfactory design is achieved after only 12 generations of IMOPSO evolutions. Compared with original design, the maximum displacement of the satisfactory design is reduced, and the mass of the satisfactory design is decreased for 22%.
This paper proposes a novel optimizationalgorithm named goal-pareto based non-dominated sorting genetic algorithm (GBNSGA). The proposed technique has a role of playing an optimal reconfiguration of agile cognitive r...
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ISBN:
(纸本)9781424408146
This paper proposes a novel optimizationalgorithm named goal-pareto based non-dominated sorting genetic algorithm (GBNSGA). The proposed technique has a role of playing an optimal reconfiguration of agile cognitive radio (CR) system by altering set of modem parameters designated as knobs working in dynamic wireless environment. Recently, various kinds of bio-inspired algorithms either timely or costly efficien have been investigated so as to accomplish a smart way of switching the radio configuration. Towards this, the proposed GBNSGA in this paper performs a hybrid type of optimization process from a functional point of view, namely well-known pareto-based non-dominated sorting genetic algorithm (NSCA) performs with goal programming (GP) cooperatively. To confirm the validity, a realistic scenario covering cdma2000 forward link for the class of conversational audio service delivered in Rician channel is set to be considered. By conducting computer simulations, the figure of merits of the proposed algorithm will be exploited regarding how many sets of not over-maximizing systems are achieved residing in range of prescribed performance goals after an optimization procedure. Among those, the optimal configuration can be achieved in the sense of consuming low transmit power, while obeying required quality of service.
Wafer acceptance testing (WAT) is a process that is used to assess the quality and reliability of manufactured wafers. This technique for the early detection and screening of chips allows for improvements in their rel...
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Wafer acceptance testing (WAT) is a process that is used to assess the quality and reliability of manufactured wafers. This technique for the early detection and screening of chips allows for improvements in their reliability and performance during the manufacture of semiconductor devices. The automatic test equipment (ATE) used for processing millions of wafers is susceptible to a number of issues, including the absence of data values, the presence of redundant parameters, and categorical imbalance. These issues increase the cost of data processing, and impede an investigation into the relationship between WAT and feature diagnostics. In this study, we propose a method with a low test escape rate based on a multi-objective optimization algorithm to reduce the cost of testing and minimize the number of defective dice that go undetected. The proposed method retains outliers, dynamically selects the range of the neighborhood to reduce the cost of testing, and uses Shapley values to analyze a WAT dataset to determine the importance of features of the data. The multi-objective optimization algorithm ranks features by their importance, and applies an adaptive method to eliminate features with a low overall correlation, thereby reducing the risk that defective dice are undetected.
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