Výsledky vyhľadávania - "multi-objective discrete artificial bee colony algorithm"

Selective cooperative disassembly planning based on multi-objective discrete artificial bee colony algorithm Autor Ren, Yaping, Tian, Guangdong, Zhao, Fu, Yu, Daoyuan, Zhang, Chaoyong

“…Disassembly sequencing has significant effects on the performance of remanufacturing and recycling of used or discarded products. Studies on disassembly…”
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Solving human-robot collaborative mixed-model two-sided assembly line balancing using multi-objective discrete artificial bee colony algorithm Autor Huang, Yuzhe, Sheng, Buyun, Luo, Ruiping, Lu, Yingkang, Fu, Gaocai, Yin, Xiyan

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Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm Autor Dai, Lou-Lei, Pan, Quan-Ke, Miao, Zhong-Hua, Suganthan, Ponnuthurai Nagaratnam, Gao, Kai-Zhou

“…With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture…”
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Energy Saving in Single-Machine Scheduling Management: An Improved Multi-Objective Model Based on Discrete Artificial Bee Colony Algorithm Autor Jia, Jing, Lu, Chao, Yin, Lvjiang

“…Green manufacturing, which takes environmental effect and production benefit into consideration, has attracted increasing concern with the target of carbon…”
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An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption Autor Yüksel, Damla, Taşgetiren, M. Fatih, Kandiller, Levent, Gao, Liang

“…•Total tardiness & total energy consumption minimization are addressed for NWPFSP.•MILP and CP models are proposed for bi-objective NWPFSP.•3 metaheuristic…”
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Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots Autor Wang, Weiwei, Zhang, Biao, Jiang, Xuchu, Jia, Baoxian, Sang, Hongyan, Meng, Leilei

“…Rescheduling in a hybrid flowshop holds significant importance in modern industries that face uncertain events. Moreover, real-world manufacturing scenarios…”
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