A hybrid genetic-particle swarm algorithm based on multilevel neighbourhood structure for flexible job shop scheduling problem

Z Liu, J Wang, C Zhang, H Chu, G Ding… - Computers & Operations …, 2021 - Elsevier
Reasonable job shop scheduling can improve the production efficiency and product delivery
and reduce the costs and energy consumption. The quality of a scheduling scheme mainly …

Cooperative co-evolution and Mapreduce: a review and new insights for large-scale optimisation

ANMB Rashid, T Choudhury - International Journal of Information …, 2021 - igi-global.com
Real-word large-scale optimisation problems often result in local optima due to their large
search space and complex objective function. Hence, traditional evolutionary algorithms …

Dynamic dispatching for interbay automated material handling with lot targeting using improved parallel multiple-objective genetic algorithm

W Qin, Z Zhuang, Y Zhou, Y Sun - Computers & Operations Research, 2021 - Elsevier
With the growth of wafer size from 200 mm to 300 mm and then to 450 mm in recent years,
automatic material handling system (AMHS) has played an indispensable role in …

A Bayesian-grouping based hybrid distributed cooperative evolutionary optimization for large-scale flexible job-shop scheduling problem

J Liu, Z Sui, X Li, J Yang - IEEE Access, 2021 - ieeexplore.ieee.org
Flexible job-shop scheduling problem (FJSP) is one of the most important optimization
problem in manufacturing domain. With the development of manufacturing industry, the …

Logistic network modeling and optimization: An approach based on (max,+) algebra and coloured Petri nets

YI Mahjoub, A Nait-Sidi-Moh - Computers & Industrial Engineering, 2021 - Elsevier
The present article deals with supply chain management considered as a Discrete Event
System (DES). We introduce a new modeling approach based on linear and non-stationary …

Cooperative hybrid evolutionary algorithm for large scale multi-stage multi-product batch plants scheduling problem

Y Han, X Gu - Neurocomputing, 2021 - Elsevier
As an important part of batch chemical industry scheduling problems, the multi-stage multi-
product batch plant scheduling problem (MMSP) has been widely studied for decades. This …

An industry maintenance planning optimization problem using CMA-VNS and its variations

A Zholobova, Y Zholobov, I Polyakov… - … Optimization Theory and …, 2021 - Springer
In this article, we consider the statement of a problem described in the competition
ROADEF/EURO challenge 2020 [4] dedicated to a maintenance planning optimization …

An eigenspace divide-and-conquer approach for large-scale optimization

Z Ren, Y Liang, M Wang, Y Yang, A Chen - Applied Soft Computing, 2021 - Elsevier
Abstract Divide-and-conquer-based (DC-based) evolutionary algorithms (EAs) have
achieved notable success in dealing with large-scale optimization problems (LSOPs) …

Developing a flexible manufacturing control system considering mixed uncertain predictive maintenance model: A simulation-based optimization approach

B Shahbazi, SHA Rahmati - Operations Research Forum, 2021 - Springer
Nowadays, with the development of information technology infrastructure, most systems are
moving towards intelligent models, among which the field of production is no exception. One …

A population-based framework for solving the job shop scheduling problem

P Jedrzejowicz, E Ratajczak-Ropel… - International Conference …, 2021 - Springer
The paper proposes the framework named MPF, extending the Mushroom Picking
Metaheuristics and originally proposed earlier by the authors. The framework can be used …