A bayesian optimization-based evolutionary algorithm for flexible job shop scheduling

L Sun, L Lin, Y Wang, M Gen, H Kawakami - Procedia Computer Science, 2015 - Elsevier
Abstract Flexible Job-shop Scheduling Problem (fJSP) is a typical and important scheduling
problem in Flexible Manufacturing System (FMS). The fJSP is an extended version of Job …

Improved simulated annealing algorithm for flexible job shop scheduling problems

G Chenyang, G Yuelin… - 2016 Chinese Control and …, 2016 - ieeexplore.ieee.org
Because of computational complexity and a lot of constrained conditions, it is difficult to
obtain the optimal solution for the flexible job shop scheduling problem (f-JSP). This paper …

A hybrid evolutionary algorithm for flexible job shop scheduling problems

C Wang, N Tian, ZC Ji, Y Wang - 2016 35th Chinese Control …, 2016 - ieeexplore.ieee.org
In this paper, a hybrid evolutionary algorithm (HEA) for flexible job shop scheduling (FJSP)
to minimize makespan is developed, in which, a new crowed operator based on average …

Solving flexible job shop scheduling problem by a multi-swarm collaborative genetic algorithm

W Cuiyu, LI Yang, LI Xinyu - Journal of Systems Engineering …, 2021 - ieeexplore.ieee.org
The flexible job shop scheduling problem (FJSP), which is NP-hard, widely exists in many
manufacturing industries. It is very hard to be solved. A multi-swarm collaborative genetic …

Genetic algorithm combined with gradient information for flexible job-shop scheduling problem with different varieties and small batches

M Chen, JL Li - MATEC Web of Conferences, 2017 - matec-conferences.org
To solve the Flexible Job-shop Scheduling Problem (FJSP) with different varieties and small
batches, a modified meta-heuristic algorithm based on Genetic Algorithm (GA) is proposed …

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 …

A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem

R Chen, B Yang, S Li, S Wang - Computers & industrial engineering, 2020 - Elsevier
As an important branch of production scheduling, flexible job-shop scheduling problem
(FJSP) is difficult to solve and is proven to be NP-hard. Many intelligent algorithms have …

An improved genetic algorithm for solving flexible job shop scheduling problem

Z Wei, B Yan-ping, Z Ye-qing - 2013 25th Chinese Control and …, 2013 - ieeexplore.ieee.org
The Flexible Job Shop Scheduling Problem (FJSP) is a very important problem in the
modern manufacturing system. It is an extension of the classical job shop scheduling …

Hybrid genetic algorithm with variable neighborhood search for flexible job shop scheduling problem in a machining system

K Sun, D Zheng, H Song, Z Cheng, X Lang… - Expert Systems with …, 2023 - Elsevier
This paper proposes an improved hybrid genetic algorithm with variable neighborhood
search (HGA-VNS) for addressing the flexible job shop scheduling problem (FJSP) …

An efficient artificial fish swarm model with estimation of distribution for flexible job shop scheduling

H Ge, L Sun, X Chen, Y Liang - International Journal of …, 2016 - Taylor & Francis
The flexible job shop scheduling problem (FJSP) is one of the most important problems in
the field of production scheduling, which is the abstract of some practical production …