Memetic Differential Evolution for Constrained Numerical Optimization Problems

被引：0
|
作者：
Dominguez-Isidro, Saul [1 ]
Mezura-Montes, Efren [2 ]
Leguizamon, Guillermo [3 ]
机构：
[1] Natl Lab Adv Informat LANIA AC, Xalapa, Veracruz, Mexico
[2] Univ Veracruzana, Dept Artificial Intelligence, Xalapa, Veracruz, Mexico
[3] Univ Nacl San Luis, Dept Informat, San Luis, Argentina
来源：
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2013年
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a memetic algorithm for solving constrained numerical optimization problems. The proposed approach uses differential evolution as a global search algorithm, which was improved with a mathematical programming method called Powell's conjugate direction as a local search operator. To the best of the authors' knowledge, this is the first attempt to use such mathematical programming method within differential evolution for constrained optimization. The proposed algorithm was tested on 36 test problems used in the special session on "Single Objective Constrained Real-Parameter Optimization" in CEC'2010. The proposed algorithm is able to find competitive results with respect to the winner algorithm in that session.
引用
收藏
页码：2996 / 3003
页数：8
相关论文
共 50 条
  • [41] Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
    Liu, Hui
    Cai, Zixing
    Wang, Yong
    APPLIED SOFT COMPUTING, 2010, 10 (02) : 629 - 640
  • [42] A NEW PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION TECHNIQUE FOR CONSTRAINED OPTIMIZATION PROBLEMS
    Al-Ani, Dhafar
    Habibi, Saeid
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 4A, 2014,
  • [43] Multi-objective memetic differential evolution optimization algorithm for text clustering problems
    Mustafa, Hossam M. J.
    Ayob, Masri
    Shehadeh, Hisham A.
    Abu-Taleb, Sawsan
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (02): : 1711 - 1731
  • [44] Multi-objective memetic differential evolution optimization algorithm for text clustering problems
    Hossam M. J. Mustafa
    Masri Ayob
    Hisham A. Shehadeh
    Sawsan Abu-Taleb
    Neural Computing and Applications, 2023, 35 : 1711 - 1731
  • [45] Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems
    Sabar, Nasser R.
    Abawajy, Jemal
    Yearwood, John
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2017, 21 (02) : 315 - 327
  • [46] A constraint consensus memetic algorithm for solving constrained optimization problems
    Hamza, Noha M.
    Sarker, Ruhul A.
    Essam, Daryl L.
    Deb, Kalyanmoy
    Elsayed, Saber M.
    ENGINEERING OPTIMIZATION, 2014, 46 (11) : 1447 - 1464
  • [47] ε Constrained Differential Evolution Algorithm with a Novel Local Search Operator for Constrained Optimization Problems
    Yi, Wenchao
    Li, Xinyu
    Gao, Liang
    Zhou, Yinzhi
    PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 1, 2015, : 495 - 507
  • [48] A Memetic Algorithm with Simplex Crossover for Solving Constrained Optimization Problems
    Pescador Rojas, Miriam
    Coello Coello, Carlos A.
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
  • [49] A differential evolution based algorithm for constrained multiobjective structural optimization problems
    Vargas, D. E. C.
    Lemonge, A. C. C.
    Barbosa, H. J. C.
    Bernardino, H. S.
    REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2016, 32 (02): : 91 - 99
  • [50] A hybrid of differential evolution and genetic algorithm for constrained multiobjective optimization problems
    Zhang, Min
    Geng, Huantong
    Luo, Wenjian
    Huang, Linfeng
    Wang, Xufa
    SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2006, 4247 : 318 - 327
12345