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To optimize the comprehensive performance of electric vehicles (EVs) equipped with automated manual transmission (AMT), a performance evaluation function that takes into account dynamic performance, economic performance and driver's driving intentions is put forward. The approach proposed in this paper is based on a gearshift schedule optimization method based on genetic algorithm (GA) using the evaluation...
A trend in up-to-date developments in service computing focuses on the theme of dynamic composition and optimization of services and its application in service-oriented networked manufacturing (SONM). The paper addresses the particularities of manufacturing resource service composition and optimization (MRSCO) in SONM and proposes a conceptual framework. In this framework, cyber-physical systems (CPS)...
Efficient use of urban rainwater can reduce the urban waterlogging and ease water crisis; In urban landscape construction process can be the use of rainwater organically, make landscape not only has the visual beautification, ecological optimization and has more rainwater resources use function; In landscape design can pass through rain gardens, roof gardens, green streets to achieve these functions,...
Low convergence accuracy and the acceleration coefficient setting problem have always been the difficult and hot research points of particle swarm optimization algorithm. This paper introduces a composite particle swarm optimization CPSO based on the adaptive PSO and adaptive GA and applies CPSO in the BP network training of turbo-pump fault diagnosis. In addition, the classical test function Rastrigrin...
Software test is an important step during software development. Improving the automation of software testing can increase the robustness of software and decrease the cost of development. The key of improving the automation ability of testing is improving the automatic test data generation. The paper presents a new method to generate test data for multi-path coverage. The method uses a two-dimensional...
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