A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times
X Chen, J Li, Z Wang, J Li, K Gao - Applied Soft Computing, 2024 - Elsevier
Confronted with increasingly complex industrial scenarios, limited transportation resources
and complicated time constraints introduce significant challenges to production efficiency …
and complicated time constraints introduce significant challenges to production efficiency …
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …
However, the job processing time usually is uncertain and changeable during …
Energy-efficient scheduling in job shop manufacturing systems: a literature review
Energy efficiency has become a major concern for manufacturing companies not only due to
environmental concerns and stringent regulations, but also due to large and incremental …
environmental concerns and stringent regulations, but also due to large and incremental …
A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time
Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …
Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, there is a high level of …
manufacturing has attracted growing attention. Meanwhile, there is a high level of …
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
F Yu, C Lu, J Zhou, L Yin, K Wang - Engineering Applications of Artificial …, 2024 - Elsevier
With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …
efficiency have received considerable attention from enterprises and countries. Meanwhile …
Hybrid genetic algorithm with variable neighborhood search for flexible job shop scheduling problem in a machining system
K Sun, D Zheng, H Song, Z Cheng, X Lang… - Expert Systems with …, 2023 - Elsevier
This paper proposes an improved hybrid genetic algorithm with variable neighborhood
search (HGA-VNS) for addressing the flexible job shop scheduling problem (FJSP) …
search (HGA-VNS) for addressing the flexible job shop scheduling problem (FJSP) …
Co-evolution with deep reinforcement learning for energy-aware distributed heterogeneous flexible job shop scheduling
Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II
YJ Wang, GG Wang, FM Tian, DW Gong… - … Applications of Artificial …, 2023 - Elsevier
As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …
support among the people, the energy-efficient hybrid flow-shop scheduling problem …
Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns
This paper focuses on the multi-objective energy-efficient flexible job shop scheduling
problem with machine breakdowns. To mitigate the impact of machine breakdowns, a …
problem with machine breakdowns. To mitigate the impact of machine breakdowns, a …