A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems

S Verma, M Pant, V Snasel - IEEE access, 2021 - ieeexplore.ieee.org
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

A comprehensive survey on NSGA-II for multi-objective optimization and applications

H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

A critical review of planning and scheduling in steel-making and continuous casting in the steel industry

M Lee, K Moon, K Lee, J Hong… - Journal of the Operational …, 2024 - Taylor & Francis
Steel-making and continuous casting (SCC) processes are considered the main bottlenecks
in the steel industry. We consider planning and scheduling problems in SCC processes and …

Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm

Y Fu, H Wang, G Tian, Z Li, H Hu - Journal of Intelligent Manufacturing, 2019 - Springer
Multi-agent and deteriorating scheduling has gained an increasing concern from academic
and industrial communities in recent years. This study addresses a two-agent stochastic flow …

Energy-efficient steelmaking-continuous casting scheduling problem with temperature constraints and its solution using a multi-objective hybrid genetic algorithm with …

Z Xu, Z Zheng, X Gao - Applied Soft Computing, 2020 - Elsevier
With the increasing energy price and the urgent demand of manufacturing enterprises for
energy conservation, energy-efficient scheduling (EES) technology has been widely …

Cooperative route planning for the drone and truck in delivery services: A bi-objective optimisation approach

K Wang, B Yuan, M Zhao, Y Lu - Journal of the Operational …, 2020 - Taylor & Francis
The deployment of drones to support the last-mile delivery has been initially attempted by
several companies such as Amazon and Alibaba. The complementary capabilities of the …

Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants

J Long, Z Zheng, X Gao, PM Pardalos - Applied Soft Computing, 2018 - Elsevier
This paper studies a new realistic hybrid flow shop (HFS) scheduling problem with stage
skipping and adjustable processing time in steelmaking-continuous casting (SCC) …

Green optimization for precast production rescheduling based on disruption management

R Zhang, X Feng, Z Mou, Y Zhang - Journal of Cleaner Production, 2023 - Elsevier
The advancement of prefabricated buildings has become a prominent trend in the
construction sector. Disturbance events as a significant obstacle to the production of …

An iterated greedy matheuristic for scheduling in steelmaking-continuous casting process

J Hong, K Moon, K Lee, K Lee… - International Journal of …, 2022 - Taylor & Francis
Steelmaking-Continuous Casting (SCC) is a bottleneck in the steel production process and
its scheduling has become more challenging over time. In this paper, we provide an …

A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production

J Long, Z Sun, PM Pardalos, Y Bai, S Zhang, C Li - Applied Soft Computing, 2020 - Elsevier
In this work, the dynamic scheduling problem is investigated considering the uncertainty of
the job release time in steelmaking-continuous casting production processes. In contrast to …