[HTML][HTML] A review on the unit commitment problem: Approaches, techniques, and resolution methods

L Montero, A Bello, J Reneses - Energies, 2022 - mdpi.com
Optimizing the schedule of thermal generators is probably the most important task when the
operation of power systems is managed. This issue is known as the unit commitment …

Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

AB Kunya, AS Abubakar, SS Yusuf - Electric Power Systems Research, 2023 - Elsevier
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products

X Guo, Z Zhang, L Qi, S Liu, Y Tang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …

Henry gas solubility optimization: A novel physics-based algorithm

FA Hashim, EH Houssein, MS Mabrouk… - Future Generation …, 2019 - Elsevier
Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …

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 …

A multi-layered gravitational search algorithm for function optimization and real-world problems

Y Wang, S Gao, M Zhou, Y Yu - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve
population. Though GSA is an effective population-based algorithm, it exhibits low search …

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

Y Ji, S Liu, M Zhou, Z Zhao, X Guo, L Qi - Information Sciences, 2022 - Elsevier
Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …

Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony

G Tian, Y Ren, Y Feng, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Disassembly sequencing is important for remanufacturing and recycling used or discarded
products. AND/OR graphs (AOGs) have been applied to describe practical disassembly …

Heuristic scheduling of batch production processes based on petri nets and iterated greedy algorithms

Z Zhao, S Liu, MC Zhou, D You… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Wire rod and bar rolling is an important batch production process in steel production
systems. A scheduling problem originated from this process is studied in this work by …

Multiresource-constrained selective disassembly with maximal profit and minimal energy consumption

X Guo, MC Zhou, S Liu, L Qi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial products' reuse, recovery, and recycling are very important due to the exhaustion
of ecological resources. Effective product disassembly planning methods can improve the …