A research survey: review of flexible job shop scheduling techniques

IA Chaudhry, AA Khan - International Transactions in …, 2016 - Wiley Online Library
In the last 25 years, extensive research has been carried out addressing the flexible job
shop scheduling (JSS) problem. A variety of techniques ranging from exact methods to …

Multi-objective optimization of production scheduling with evolutionary computation: A review

R Ojstersek, M Brezocnik… - International Journal of …, 2020 - growingscience.com
Multi-Objective (MO) optimization is a well-known research field with respect to the
complexity of production planning and scheduling. In recent years, many different …

An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems

X Yang, R Wang, D Zhao, F Yu, C Huang… - Expert Systems with …, 2023 - Elsevier
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

X Li, L Gao - International Journal of Production Economics, 2016 - Elsevier
Flexible job shop scheduling problem (FJSP) which is an extension of the classical job shop
scheduling problem is a very important problem in the modern manufacturing system. It …

A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and …

W Xu, Y Hu, W Luo, L Wang, R Wu - Computers & Industrial Engineering, 2021 - Elsevier
The general distributed flexible job shop scheduling problem (DFJSP) involves three sub-
problems:(1) operation-sequencing,(2) job-to-cell assignment, and (3) operation-to-machine …

Hybrid particle swarm optimization algorithm for solving the clustered vehicle routing problem

MA Islam, Y Gajpal, TY ElMekkawy - Applied Soft Computing, 2021 - Elsevier
This paper considers a variant of the classical capacitated vehicle routing problem called
clustered vehicle routing problem (CluVRP). In CluVRP, customers are grouped into …

A two-phase meta-heuristic for multiobjective flexible job shop scheduling problem with total energy consumption threshold

D Lei, M Li, L Wang - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) has been extensively considered; however,
multiobjective FJSP with energy consumption threshold is seldom investigated, the goal of …

[HTML][HTML] A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities

JQ Li, QK Pan, MF Tasgetiren - Applied Mathematical Modelling, 2014 - Elsevier
This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the
multi-objective flexible job shop scheduling problem with maintenance activities …

Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events

H Wang, J Cheng, C Liu, Y Zhang, S Hu, L Chen - Applied Soft Computing, 2022 - Elsevier
The economic benefits for manufacturing companies will be influenced by how it handles
potential dynamic events and performs multi-objective real-time scheduling for existing …

A novel location-routing problem in electric vehicle transportation with stochastic demands

S Zhang, M Chen, W Zhang - Journal of Cleaner Production, 2019 - Elsevier
With the development of the electric vehicle (EV) technology, the electric vehicle routing
problems (EVRPs) have become a current focus for research. Although customer demands …