Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices

L Wang - Knowledge-Based Systems, 2020 - Elsevier
To decrease the load of electricity grid during the peak period, time-of-use electricity price
has been implemented in industries to shift the production activities from the peak to the off …

Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem

D Yang, M Wu, D Li, Y Xu, X Zhou, Z Yang - Knowledge-Based Systems, 2022 - Elsevier
Flexible job shop scheduling problem (FJSP) has attracted many research interests, in
particular for meta-heuristic algorithm (MA) developers due to the superior optimization …

Information-utilization-method-assisted multimodal multiobjective optimization and application to credit card fraud detection

S Han, K Zhu, MC Zhou, X Cai - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Different from multiobjective optimization problems (MOPs), multimodal MOPs (MMOPs)
focus on both decision and objective spaces rather than only objective one. Thus, finding a …

A hybrid multi-objective evolutionary algorithm-based semantic foundation for sustainable distributed manufacturing systems

VB Ramakurthi, VK Manupati, J Machado, L Varela - Applied Sciences, 2021 - mdpi.com
Rising energy prices, increasing maintenance costs, and strict environmental regimes have
augmented the already existing pressure on the contemporary manufacturing environment …

IMOEA/D to optimize job release problem for a reentrant hybrid flow shop

X Yan, X Wu - Computers & Industrial Engineering, 2022 - Elsevier
In a reentrant production system, an effective job release policy is helpful to increase output
and keep the work in process (WIP) in an acceptable level. This study mainly focuses on the …

[图书][B] Supervisory Control and Scheduling of Resource Allocation Systems: Reachability Graph Perspective

B Huang, MC Zhou - 2020 - books.google.com
Presents strategies with reachability graph analysis for optimizing resource allocation
systems Supervisory Control and Scheduling of Resource Allocation Systems offers an …

Optimizing job release and scheduling jointly in a reentrant hybrid flow shop

X Wu, X Yan, L Wang - Expert Systems with Applications, 2022 - Elsevier
In a reentrant manufacturing system, job release and scheduling are of great importance.
However, the two decisions have been made separately in the past. This study mainly aims …

A Random Classified‐Storage Picking Path Model for V‐Type Storage Layout

L Zhou, X Fan, J Wang, S Wang, N Cao, M Wu - Complexity, 2020 - Wiley Online Library
This paper studies a V‐type layout design, establishes the area utilization model of a V‐type
layout based on big data technology, and verifies the validity of the area model. This paper …

Particle Swarm Optimizer Without Communications Among Particles

JQ Zhang, XR Huang, H Liu, MC Zhou - International Conference on …, 2023 - Springer
Abstract Particle Swarm Optimizer (PSO) is a kind of population-based evolutionary
optimizer. Many PSO variants have been proposed and most of them require mutual …

Decomposition‐Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models

X Wu, S Zhang, Z Gong, J Ji, Q Lin, J Chen - Complexity, 2020 - Wiley Online Library
In recent years, a number of recombination operators have been proposed for multiobjective
evolutionary algorithms (MOEAs). One kind of recombination operators is designed based …