Application of Improved Multiverse Algorithm to Large Scale Optimization Problems

被引:6
作者
Liu Xiaolong [1 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Large scale optimization problem; Multi-Verses Optimization (MVO); Meta heuristic optimization; Non-linear convergence factor; VERSE OPTIMIZER;
D O I
10.11999/JEIT180751
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To overcome the mechanism shortcomings of wormhole and white hole selection in the Multi-Verse Optimizer (MVO), an Improved Multi-Universes Optimization (IMVO) algorithm is proposed. To speed up global exploration ability and quick iteration ability, this thesis designs the existence mechanism of wormhole with fixed probability and the Travel Distance Rate (TDR) that its convergence from early stage's smoothly to later stage's fast. The random white hole selection mechanism is proposed; Black holes can revolve around selected white hole stars and is modelled to solve the problem of information communication of the Inter-generational Universes. The performance of IMVO is verified by comparison experiments in low-middle dimensions. Three benchmarks test functions are selected for comparison in large scale which are difficult to be optimized, the experimental results show that IMVO has good applicability and robustness with higher solving accuracy and success rate in large scale optimization problem.
引用
收藏
页码:1666 / 1673
页数:8
相关论文
共 17 条
[1]   Parameter extraction of photovoltaic generating units using multi-verse optimizer [J].
Ali, E. E. ;
El-Hameed, M. A. ;
El-Fergany, A. A. ;
El-Arini, M. M. .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2016, 17 :68-76
[2]   A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm [J].
Askarzadeh, Alireza .
COMPUTERS & STRUCTURES, 2016, 169 :1-12
[3]  
Bolufé-Röhler A, 2015, IEEE C EVOL COMPUTAT, P1958, DOI 10.1109/CEC.2015.7257125
[4]  
Chopra SS, 2016, CANCER DRUG DISCOV D, P1, DOI 10.1007/978-3-319-34211-5_1
[5]   Training feedforward neural networks using multi-verse optimizer for binary classification problems [J].
Faris, Hossam ;
Aljarah, Ibrahim ;
Mirjalili, Seyedali .
APPLIED INTELLIGENCE, 2016, 45 (02) :322-332
[6]   A Multi-Verse Optimizer with Levy Flights for Numerical Optimization and Its Application in Test Scheduling for Network-on-Chip [J].
Hu, Cong ;
Li, Zhi ;
Zhou, Tian ;
Zhu, Aijun ;
Xu, Chuanpei .
PLOS ONE, 2016, 11 (12)
[7]   A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem [J].
Jangir, Pradeep ;
Parmar, Siddharth A. ;
Trivedi, Indrajit N. ;
Bhesdadiya, R. H. .
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2017, 20 (02) :570-586
[8]  
[姜天华 Jiang Tianhua], 2018, [控制与决策, Control and Decision], V33, P503
[9]   进化算法在大规模优化问题中的应用综述 [J].
梁静 ;
刘睿 ;
瞿博阳 ;
岳彩通 .
郑州大学学报(工学版), 2018, 39 (03) :15-21
[10]  
Liang Jing, 2018, Journal of Software, V29, P2595, DOI 10.13328/j.cnki.jos.005398