Bi-population balancing multi-objective algorithm for fuzzy flexible job shop with energy and transportation

J Li, Y Han, K Gao, X Xiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) is one of the challenging issues in industrial
systems. In this study, we propose a bi-population balancing multi-objective evolutionary …

Many-objective job-shop scheduling: A multiple populations for multiple objectives-based genetic algorithm approach

SC Liu, ZG Chen, ZH Zhan, SW Jeon… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The job-shop scheduling problem (JSSP) is a challenging scheduling and optimization
problem in the industry and engineering, which relates to the work efficiency and operational …

A deep reinforcement learning based algorithm for a distributed precast concrete production scheduling

Y Du, J Li - International Journal of Production Economics, 2024 - Elsevier
The environmental-friendly production demands higher manufacturing efficiency and lower
energy cost; therefore, time-of-use electricity price constraint and distributed production have …

Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories

C Luo, W Gong, R Li, C Lu - Engineering Applications of Artificial …, 2023 - Elsevier
With the development of the global economy and the enhancement of environmental
awareness, energy-efficient permutation flow shop scheduling gets more attention …

Crane-lift path planning for high-rise modular integrated construction through metaheuristic optimization and virtual prototyping

A Zhu, Z Zhang, W Pan - Automation in Construction, 2022 - Elsevier
Heavy crane lifting in high-rise modular integrated construction (MiC) is critical but
challenging. The current crane-lift executions are heavily reliant on human judgment. Few …

Discrete improved grey wolf optimizer for community detection

MH Nadimi-Shahraki, E Moeini, S Taghian… - Journal of Bionic …, 2023 - Springer
Detecting communities in real and complex networks is a highly contested topic in network
analysis. Although many metaheuristic-based algorithms for community detection have been …

Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times

G Zhang, S Yan, X Song, D Zhang, S Guo - Engineering Applications of …, 2024 - Elsevier
Flexible job-shop scheduling is considerably important in the modern intelligent
manufacturing factory. In a real job shop, transportation and setup times account for a large …

Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing

J Su, Y Fu, K Gao, H Dong, J Mou - Swarm and Evolutionary Computation, 2023 - Elsevier
Production and distribution are two parts of importance in supply chains. Yet, seldom
attention is given to an integrated production and distribution in the case of open shop …

Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions

X Chen, J Li, Y Xu - Swarm and Evolutionary Computation, 2023 - Elsevier
Confronted with complex industrial environments, dynamic disruptions like new job arrival
and machine breakdown bring significant challenges to the robustness and stability of the …

Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation

X Ma, Y Fu, K Gao, A Sadollah, K Wang - Swarm and Evolutionary …, 2022 - Elsevier
Currently, population aging has aroused much concern in many countries since the elderly
occupy a lot of social public resources in hospitals and nursing homes. Home health care …