A memetic differential evolution algorithm for energy-efficient parallel machine scheduling

X Wu, A Che - Omega, 2019 - Elsevier
This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …

Energy-efficient no-wait permutation flow shop scheduling by adaptive multi-objective variable neighborhood search

X Wu, A Che - Omega, 2020 - Elsevier
This paper considers an energy-efficient no-wait permutation flow shop scheduling problem
to minimize makespan and total energy consumption, simultaneously. The processing …

Reinforcement learning for robotic flow shop scheduling with processing time variations

JH Lee, HJ Kim - International journal of production research, 2022 - Taylor & Francis
We address a robotic flow shop scheduling problem where two part types are processed on
each given set of dedicated machines. A single robot moving on a fixed rail transports one …

Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators

Y Tuo, Z Zhang, T Wu, Y Zeng, Y Zhang… - Journal of Manufacturing …, 2024 - Elsevier
Dynamic multimanned disassembly is a viable option for disassembly lines handling
products with multiple attributes. This study proposes a multimanned disassembly line …

[HTML][HTML] Scheduling robotic cells with fixed processing times or time windows: Classification, solution approaches, polynomial algorithms and complexity

J Feng, A Che, C Chu, E Levner, V Kats - European Journal of Operational …, 2024 - Elsevier
Robotic cell scheduling has received considerable attention from researchers. Several
existing review papers have presented then-existing studies on robotic cell scheduling and …

Decomposition-based bi-objective optimization for sustainable robotic assembly line balancing problems

B Zhou, Q Wu - Journal of Manufacturing Systems, 2020 - Elsevier
Due to the increasing greenhouse gas emissions and the energy crisis, the manufacturing
industry which is one of the most energy intensive sector is paying close attention to the …

Non-dominated immune-endocrine short feedback algorithm for multi-robot maritime patrolling

L Huang, MC Zhou, K Hao - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Multi-robot systems can be used to patrol a concerned part of ocean to ensure maritime
safety under severe weather conditions. Seeking its optimal patrolling strategy to fulfill multi …

Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks

S Gupta, W Shu, Y Zhang, R Su - Knowledge-Based Systems, 2023 - Elsevier
This study addresses the bi-objective traffic light scheduling problem (TLSP), which aims to
minimize the network-wise delay time of all vehicles and pedestrians within a predefined …

Cyclic multi-hoist scheduling with fuzzy processing times in flexible manufacturing lines

A Ptuskin, E Levner, V Kats - Applied Soft Computing, 2024 - Elsevier
This work addresses the problem of scheduling multiple hoists (robots), which arises on real
automated electroplating lines. Several hoists operate on a shared track and should not …

An effective fruit fly optimization algorithm with hybrid information exchange and its applications

SX Lv, YR Zeng, L Wang - International Journal of Machine Learning and …, 2018 - Springer
As a newly proposed algorithm, fruit fly optimization algorithm (FOA) has been shown to
have a strong capacity for solving numerical optimization problems. However, the basic FOA …