Citation analysis and bibliometric approach for ant colony optimization from 1996 to 2010

被引：22

作者：

Deng, Guang-Feng ^{[1
]}

Lin, Woo-Tsong ^{[1
]}

机构：

[1] Natl Chengchi Univ, Dept Management Informat Syst, Taipei 116, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 06期

关键词：

Citation analysis; Bibliometric analysis; Ant colony optimization (ACO); Bradford Law; Lotka's Law; QUADRATIC ASSIGNMENT PROBLEM; SYSTEM; ALGORITHMS;

D O I：

10.1016/j.eswa.2011.12.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To build awareness of the development of ant colony optimization (ACO), this study clarifies the citation and bibliometric analysis of research publications of ACO during 1996-2010. This study analysed 12,960 citations from a total of 1372 articles dealing with ACO published in 517 journals based on the databases of SCIE, SSCI and AH&CI, retrieved via the Web of Science. Bradford Law and Lotka's Law, respectively, examined the distribution of journal articles and author productivity. Furthermore, this study determines the citation impact of ACO using parameters such as extent of citation received in terms of number of citations per study, distribution of citations over time, distribution of citations among domains, citation of authors, citation of institutions, highly cited papers and citing journals and impact factor of 12,960 citations. This study can help researchers to better understand the history, current status and trends of ACO in the advanced study of it. (C) 2011 Elsevier I.td. All rights reserved.

引用

页码：6229 / 6237

页数：9

共 50 条

[41] A novel ant colony optimization approach for on-line scheduling and due date determination
Liang, Yun-Chia
Lee, Zu-Hsu
Chen, Yu-Shen
JOURNAL OF HEURISTICS, 2012, 18 (04) : 571 - 591
[42] Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem
Cheng, Chen-Yang
Chen, Yin-Yann
Chen, Tzu-Li
Yoo, John Jung-Woon
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 170 : 805 - 814
[43] Energy Efficient Approach in Wireless Sensor Networks Using Game Theoretic Approach and Ant Colony Optimization
Richa Mishra
Vivekanand Jha
Rajeev K. Tripathi
Ajay K. Sharma
Wireless Personal Communications, 2017, 95 : 3333 - 3355
[44] A comprehensive look at Greenwashing from 1996 to 2021: a bibliometric analysis
Pendse, Meenal Kaustubh
Nerlekar, Varsha Shriram
Darda, Pooja
JOURNAL OF INDIAN BUSINESS RESEARCH, 2023, 15 (01) : 157 - 186
[45] An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements
Chen, Wei-Neng
Zhang, Jun
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2009, 39 (01): : 29 - 43
[46] Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
Puris, Amilkar
Bello, Rafael
Herrera, Francisco
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (07) : 5443 - 5453
[47] Optimizing Discounted Cash Flows in Project Scheduling-An Ant Colony Optimization Approach
Chen, Wei-Neng
Zhang, Jun
Chung, Henry Shu-Hung
Huang, Rui-Zhang
Liu, Ou
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2010, 40 (01): : 64 - 77
[48] An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling
Boveiri, Hamid Reza
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 18 (04) : 498 - 510
[49] Ant Colony Optimization in Data Mining: Critical Perspective from 2015 to 2020
Nayak, Janmenjoy
Vakula, Kanithi
Dinesh, Paidi
Naik, Bighnaraj
Mishra, Manohar
INNOVATION IN ELECTRICAL POWER ENGINEERING, COMMUNICATION, AND COMPUTING TECHNOLOGY, IEPCCT 2019, 2020, 630 : 361 - 374
[50] Comparative Analysis of Vector Controlled PMSM Drive with Particle Swarm Optimization and Ant Colony Optimization Technique
Gandhi, Raja
Wilson, Robin
Kumar, Amit
Roy, Rakesh
2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020), 2020, : 744 - 750

← 1 2 3 4 5 →