Chaotic cuckoo search

被引:1
|
作者
Gai-Ge Wang
Suash Deb
Amir H. Gandomi
Zhaojun Zhang
Amir H. Alavi
机构
[1] Jiangsu Normal University,School of Computer Science and Technology
[2] Northeast Normal University,Institute of Algorithm and Big Data Analysis
[3] Northeast Normal University,School of Computer Science and Information Technology
[4] Cambridge Institute of Technology,BEACON Center for the Study of Evolution in Action
[5] Michigan State University,School of Electrical Engineering and Automation
[6] Jiangsu Normal University,Department of Civil and Environmental Engineering
[7] Michigan State University,undefined
来源
Soft Computing | 2016年 / 20卷
关键词
Global optimization; Cuckoo search; Chaotic maps ; Multimodal function;
D O I
暂无
中图分类号
学科分类号
摘要
This study proposes a novel chaotic cuckoo search (CCS) optimization method by incorporating chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated into CCS to preserve the best cuckoos. In CCS method, 12 chaotic maps are applied to tune the step size of the cuckoos used in the original CS method. Twenty-seven benchmark functions and an engineering case are utilized to investigate the efficiency of CCS. The results clearly demonstrate that the performance of CCS together with a suitable chaotic map is comparable as well as superior to that of the CS and other metaheuristic algorithms.
引用
收藏
页码:3349 / 3362
页数:13
相关论文
共 50 条
  • [41] Improved Cuckoo Search and Chaotic Flower Pollination optimization algorithm for maximizing area coverage in Wireless Sensor Networks
    Huynh Thi Thanh Binh
    Nguyen Thi Hanh
    La Van Quan
    Dey, Nilanjan
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (07): : 2305 - 2317
  • [42] Cuckoo Search Algorithm with Levy Flights for Reconstruction of Periodic and Chaotic Orbits of the 2D Henon Map
    Galvez, Akemi
    Fister, Iztok
    Deb, Suash
    Fister, Iztok, Jr.
    Iglesias, Andres
    2024 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, METAHEURISTICS & SWARM INTELLIGENCE, ISMSI 2024, 2024, : 9 - 13
  • [43] A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting
    Dong, Yongquan
    Zhang, Zichen
    Hong, Wei-Chiang
    ENERGIES, 2018, 11 (04)
  • [44] Improved Cuckoo Search and Chaotic Flower Pollination optimization algorithm for maximizing area coverage in Wireless Sensor Networks
    Huynh Thi Thanh Binh
    Nguyen Thi Hanh
    La Van Quan
    Nilanjan Dey
    Neural Computing and Applications, 2018, 30 : 2305 - 2317
  • [45] Identifying multi-machine equivalent parameters of wind farms based on an improved chaotic cuckoo search algorithm
    Chen L.
    Zheng S.
    Jiang Y.
    Chen H.
    Tang J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (20): : 99 - 106
  • [46] Adaptive Cuckoo Search Based on Ranking of Search Point
    Miyake, Yuki
    Tamura, Kenichi
    Tsuchiya, Junichi
    Yasuda, Keiichiro
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1788 - 1792
  • [47] Novel Selection Schemes for Cuckoo Search
    Abed-alguni, Bilal H.
    Alkhateeb, Faisal
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 42 (08) : 3635 - 3654
  • [48] Novel Selection Schemes for Cuckoo Search
    Bilal H. Abed-alguni
    Faisal Alkhateeb
    Arabian Journal for Science and Engineering, 2017, 42 : 3635 - 3654
  • [49] Color Image Segmentation By Cuckoo Search
    Nandy, Sudarshan
    Yang, Xin-she
    Sarkar, Partha Pratim
    Das, Achintya
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2015, 21 (04): : 673 - 685
  • [50] Cuckoo Search for Business Optimization Applications
    Yang, Xin-She
    Deb, Suash
    Karamanoglu, Mehmet
    He, Xingshi
    2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS (NCCCS), 2012, : 29 - 33