A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
A review of energy-efficient scheduling in intelligent production systems
Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
Reinforcement learning for disassembly system optimization problems: A survey
The disassembly complexity of end-of-life products increases continuously. Traditional
methods are facing difficulties in solving the decision-making and control problems of …
methods are facing difficulties in solving the decision-making and control problems of …
Task allocation and planning for product disassembly with human–robot collaboration
This paper presents a comprehensive disassembly sequence planning (DSP) algorithm in
the human–robot collaboration (HRC) setting with consideration of several important factors …
the human–robot collaboration (HRC) setting with consideration of several important factors …
An enhanced social engineering optimizer for solving an energy-efficient disassembly line balancing problem based on bucket brigades and cloud theory
G Tian, C Zhang, AM Fathollahi-Fard… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
A disassembly line is an industrialized and automated production line which should be
scheduled with high production efficiency. Although many disassembly line balancing …
scheduled with high production efficiency. Although many disassembly line balancing …
Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem
Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Life cycle-oriented low-carbon product design based on the constraint satisfaction problem
L Kong, L Wang, F Li, J Li, Y Wang, Z Cai… - Energy Conversion and …, 2023 - Elsevier
The design and development of low-carbon products have become a recent global concern
due to serious greenhouse gas emissions and climate change. The design phase …
due to serious greenhouse gas emissions and climate change. The design phase …
Disassembly sequence planning: a survey
It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …
pollution if they are poorly be handled. They contain reusable resource that can be recycled …
AI-based modeling and data-driven evaluation for smart manufacturing processes
Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …
operations by utilizing advanced analytics approaches. With the widespread increase in …
Multi-objective scheduling of priority-based rescue vehicles to extinguish forest fires using a multi-objective discrete gravitational search algorithm
The implementation of emergency scheduling of priority-based rescue vehicles for
extinguishing forest fires is a complex optimization problem facing with many challenges …
extinguishing forest fires is a complex optimization problem facing with many challenges …