An improved discrete pigeon-inspired optimisation algorithm for flexible job shop scheduling problem

被引:7
作者
Wu, Xiuli [1 ]
Shen, Xianli [1 ]
Zhao, Ning [1 ]
Wu, Shaomin [2 ]
机构
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing, Peoples R China
[2] Univ Kent, Kent Business Sch, Canterbury, Kent, England
基金
中国国家自然科学基金;
关键词
discrete pigeon-inspired optimisation algorithm; flexible job shop scheduling problem; discretisation; map and compass operator; landmark operator; PARTICLE SWARM OPTIMIZATION; BEE COLONY ALGORITHM; GENETIC ALGORITHM; TABU SEARCH;
D O I
10.1504/IJBIC.2020.111278
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The pigeon-inspired optimisation (PIO) algorithm, which is a new promising optimisation algorithm, has successfully solved many continuous optimisation problems. In the literature, however, little research has been conducted on its application to the combinational optimisation problems. This paper therefore tries to fill in this gap and applies the PIO algorithm to solve the flexible job shop scheduling problem (FJSP), which is a typical combinational optimisation problem. It proposes an improved discrete PIO (IDPIO) algorithm to minimise the makespan of FJSP and develops methods to optimise the time to carry out the map and compass operator or the landmark operator with the PIO. The discrete map, compass operator, and the discrete landmark operator are developed respectively. The experiment results show that the IDPIO algorithm can solve the FJSP effectively and efficiently.
引用
收藏
页码:181 / 194
页数:14
相关论文
共 29 条
[1]  
Brandimarte P., 1993, Annals of Operations Research, V41, P157, DOI 10.1007/BF02023073
[2]   A pigeon-inspired optimization algorithm for many-objective optimization problems [J].
Cui, Zhihua ;
Zhang, Jiangjiang ;
Wang, Yechuang ;
Cao, Yang ;
Cai, Xingjuan ;
Zhang, Wensheng ;
Chen, Jinjun .
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 62 (07)
[3]   An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search [J].
DauzerePeres, S ;
Paulli, J .
ANNALS OF OPERATIONS RESEARCH, 1997, 70 (0) :281-306
[4]  
[段海滨 Duan Haibin], 2017, [北京工业大学学报, Journal of Beijing University of Technology], V43, P1
[5]   Echo State Networks With Orthogonal Pigeon- Inspired Optimization for Image Restoration [J].
Duan, Haibin ;
Wang, Xiaohua .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (11) :2413-2425
[6]   Pigeon-inspired optimization: a news warm intelligence optimizer for air robot path planning [J].
Duan, Haibin ;
Qiao, Peixin .
INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2014, 7 (01) :24-37
[7]   Mathematical modeling and heuristic approaches to flexible job shop scheduling problems [J].
Fattahi, Parviz ;
Mehrabad, Mohammad Saidi ;
Jolai, Fariborz .
JOURNAL OF INTELLIGENT MANUFACTURING, 2007, 18 (03) :331-342
[8]   Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion [J].
Gao, Kai Zhou ;
Suganthan, Ponnuthurai Nagaratnam ;
Pan, Quan Ke ;
Tasgetiren, Mehmet Fatih ;
Sadollah, Ali .
KNOWLEDGE-BASED SYSTEMS, 2016, 109 :1-16
[9]   A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion [J].
Gao, Kai Zhou ;
Suganthan, Ponnuthurai Nagaratnam ;
Chua, Tay Jin ;
Chong, Chin Soon ;
Cai, Tian Xiang ;
Pan, Qan Ke .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (21) :7652-7663
[10]   Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems [J].
Kacem, I ;
Hammadi, S ;
Borne, P .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2002, 32 (01) :1-13