Výsledky vyhľadávania - "Knowledge-driven memetic algorithm"

A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines Autor Deng, Libao, Qiu, Yixuan, Di, Yuanzhu, Zhang, Lili

“…: makespan, total energy consumption, and maintenance cost. To this end, a knowledge-driven memetic algorithm is tailored specifically to the problem’s characteristics…”
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A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem Autor Xu, Yunbao, Jiang, Xuemei, Li, Jun, Xing, Lining, Song, Yanjie

“…). A knowledge-driven memetic algorithm (KDMA) is proposed to address the energy-efficient DHFSSP (EEDHFSSP…”
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Optimization of Reclaiming–Loading Scheduling in Dry Bulk Terminals Based on Knowledge-Driven Memetic Algorithm Autor Liu, Qiang, Ni, Xiaodong, Liu, Huashi, Wang, Jingjing, Wang, Kang

“…Reclaiming–loading operations in dry bulk terminals often face conflicts and delays due to limitations in equipment processing capacity and operational line…”
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A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation Autor Huo, Yajie, Zhang, Fayong, Gong, Wenyin

“…Flexible Job Shop Scheduling Problems (FJSP) traditionally assume infinite transportation resources or simplified transportation constraints. With the rise of…”
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A Knowledge-Driven Memetic Algorithm for Energy-Aware Distributed Assembly Blocking Permutation Flow Shop Scheduling Problem Autor Wu, Shaoxing, Liu, Li

“…) model and a Knowledge-Driven Memetic Algorithm (KDMA). The algorithm begins with a two-layer encoding scheme that simultaneously represents factory assignments, job processing sequences and processing speeds…”
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A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem Autor Xu, Yunbao, Jiang, Xuemei, Li, Jun, Xing, Lining, Song, Yanjie

“…). A knowledge-driven memetic algorithm (KDMA) is proposed to address the energy-efficient DHFSSP (EEDHFSSP…”
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