Aug 1, 2024 · In this study, a knowledge-driven multi-objective imperialist competitive algorithm (KMOICA) is employed to address the flexible job shop scheduling problem ...
A Knowledge-Driven Cooperative Optimization Algorithm for Multi ...
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Abstract. In this study, a knowledge-driven multi-objective imperialist competi- tive algorithm (KMOICA) is employed to address the flexible job shop ...
This paper focuses on the multi-objective energy-efficient flexible job shop scheduling problem with machine breakdowns.
In this article, we study a green job-shop scheduling problem with variable machining speeds (JSPVMS) aiming at minimizing the makespan as well as the total ...
An improved imperialist competitive algorithm based on Q-learning (IICA-QL) is proposed to minimize the maximum completion time and total energy consumption.
To this end, this study investigates the multi-objective flexible job shop scheduling problem (MOFJSP) with variable processing speeds aiming at minimizing the ...
J(2024)A Knowledge-Driven Cooperative Optimization Algorithm for Multi-objective Energy-Efficient Flexible Job Scheduling with Variable Machine Speeds ...
Luo, Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization, J. Clean. Prod., № 234, с ...
This paper studies the problem of energy-efficient distributed heterogeneous permutation flowshop problem with variable processing speed (DHPFSP-VPS), ...
Knowledge-driven two-stage memetic algorithm for energy-efficient ... - OUCI
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Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns.