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Based on this background, this paper proposes a reconfiguration scheduling problem considering multi-machine cooperation (MCRSP) for RFJSs. Firstly, a multi-phase scheduling method and two manufacturing resource adjustment strategies are designed, and the mathematical model of MCRSP is established with reconfiguration costs and maximum ...
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Therefore, this paper proposes a reconfiguration scheduling problem considering multi-machine cooperation (MCRSP) for RFJSs, and a multi-phase scheduling method is designed to solve this problem. Firstly, two manufacturing resource adjustment strategies are proposed, and the mathematical model of MCRSP is established, in which the ...
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Request PDF | On Jun 16, 2023, Jinliang Li and others published A Multi-machine Cooperation Full Coverage Path Planning Method in Agriculture | Find, read and cite all the research you need on ...
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To address the task allocation problem before the multi-machine cooperative operation of agricultural machinery, Wang et al., 2021a, Wang et al., 2021b also proposed a static task allocation method for multi-machine cooperative operation of the same agricultural machinery based on multi mutation grouping genetic algorithm in the same year.
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Semantic Scholar extracted view of "A multi-phase scheduling method for reconfigurable flexible job-shops with multi-machine cooperation based on a Scout and Mutation-based Aquila Optimizer" by Zhi Pang et al. ... small-batch and multi-variety production will become one of the major production modes, especially for fast-moving consumer goods ...
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Abstract: Multi-machine collaboration of agricultural machinery is one of the international frontier and hot research in the field
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However, the multi-machine cooperative operation of agricultural machinery is mostly limited to the research on task goal planning and cooperative path optimization of a single operation.
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The task assignment of multi-machine cooperation is a key link in the cooperative navigation system. A reasonable task assignment can improve the efficiency of the entire system and reduce execution costs (Cai, 2015, Muñoz et al., 2016, Hanheide et al., 2017). ... Apart from ensuring that the path cost is as small as possible, the following ...
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Multi-Agent Context Learning (MACOL): A new machine learning algorithm for multi-agent cooperation in competing environment - cfoh/MACOL
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In order to improve the cooperative operation efficiency of multi-plant protection unmanned aerial vehicles (UAVs), the operation field segmentation algorithm is used to divide the complex field ...
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Download Citation | On Nov 1, 2023, Zhi Pang and others published A multi-phase scheduling method for reconfigurable flexible job-shops with multi-machine cooperation based on a Scout and Mutation ...
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