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 …
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 …
to minimize makespan and total energy consumption, simultaneously. The processing …
Reinforcement learning for robotic flow shop scheduling with processing time variations
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 …
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
Dynamic multimanned disassembly is a viable option for disassembly lines handling
products with multiple attributes. This study proposes a multimanned disassembly line …
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
Robotic cell scheduling has received considerable attention from researchers. Several
existing review papers have presented then-existing studies on robotic cell scheduling and …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
have a strong capacity for solving numerical optimization problems. However, the basic FOA …