A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

E Kaya, B Gorkemli, B Akay, D Karaboga - Engineering Applications of …, 2022 - Elsevier
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 …

A review of energy-efficient scheduling in intelligent production systems

K Gao, Y Huang, A Sadollah, L Wang - Complex & Intelligent Systems, 2020 - Springer
Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …

Reinforcement learning for disassembly system optimization problems: A survey

X Guo, Z Bi, J Wang, S Qin, S Liu, L Qi - International Journal of Network …, 2023 - sciltp.com
The disassembly complexity of end-of-life products increases continuously. Traditional
methods are facing difficulties in solving the decision-making and control problems of …

Task allocation and planning for product disassembly with human–robot collaboration

ML Lee, S Behdad, X Liang, M Zheng - Robotics and Computer-Integrated …, 2022 - Elsevier
This paper presents a comprehensive disassembly sequence planning (DSP) algorithm in
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 …

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 …

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 …

Disassembly sequence planning: a survey

X Guo, MC Zhou, A Abusorrah… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
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 …

AI-based modeling and data-driven evaluation for smart manufacturing processes

M Ghahramani, Y Qiao, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Smart manufacturing refers to optimization techniques that are implemented in production
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

G Tian, AM Fathollahi-Fard, Y Ren, Z Li, X Jiang - Information Sciences, 2022 - Elsevier
The implementation of emergency scheduling of priority-based rescue vehicles for
extinguishing forest fires is a complex optimization problem facing with many challenges …