Z
Zhong-Shan Zhang
Researcher at National University of Defense Technology
Publications - 18
Citations - 103
Zhong-Shan Zhang is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Scheduling (computing) & Job shop scheduling. The author has an hindex of 4, co-authored 14 publications receiving 53 citations.
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A knowledge-based evolutionary algorithm for relay satellite system mission scheduling problem
TL;DR: A mix-integer mathematical model based on graph structure of relay satellite system scheduling problem was proposed and knowledge about satellite scheduling was introduced into an evolutionary algorithm, named knowledge-based genetic algorithm (KBGA).
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A framework involving MEC: imaging satellites mission planning
TL;DR: A general data-driven framework-imaging satellite mission planning framework (ISMPF) for solving imaging mission planning problems is proposed and has a strong generality and is suitable for most situations of imaging satellites.
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Improved Genetic Algorithm with Local Search for Satellite Range Scheduling System and its Application in Environmental monitoring
TL;DR: An efficient algorithm is proposed that combines improved genetic algorithm and local search method that is used to rapidly improve the quality of the planning scheme, and the neighborhood search is used for the subsequent small-scale optimization.
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The Satellite Downlink Replanning Problem: A BP Neural Network and Hybrid Algorithm Approach for IoT Internet Connection
TL;DR: An appropriate combination approach that is based on an improved genetic algorithm (GA) for a satellite downlink replanning problem and enhanced by a backpropagation (BP) neural network (NN) is proposed.
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Multi-mobile robots and multi-trips feeding scheduling problem in smart manufacturing system: An improved hybrid genetic algorithm:
TL;DR: An improved hybrid genetic algorithm is proposed, where a strategy of mixing improved genetic algorithm and tabu search algorithm is adopted to find robots with reasonable routes to minimize the transportation cost and waiting cost of multiple mobile robots to supply multiple production lines.