Parallel evolutionary computing using a cluster for mathematical function optimization

被引：14
|
作者：
Valdez, Fevrier [1 ]
Melin, Patricia [2 ]
机构：
[1] Univ Autonoma Baja California, Tijuana, BC, Mexico
[2] Tijuana Inst Technol, Div Grad Studies & Res, Tijuana, BC, Mexico
来源：
NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2007年
关键词：
D O I：
10.1109/NAFIPS.2007.383908
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the optimization of complex mathematical functions is studied, applying evolutionary computing methods (Particle Swarm Optimization and Genetic Algorithms), with the purpose of finding the global minimum of a search space. The simulations of PSO and GAs were made in a cluster of computers, with the purpose of distributing the function in several processors (slaves) and to gather results in the master.
引用
收藏
页码：598 / +
页数：3
相关论文
共 50 条
  • [1] Evolutionary computing for the optimization of mathematical functions
    Valdez, Fevrier
    Melin, Patricia
    Castillo, Oscar
    [J]. ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 463 - +
  • [2] Facilitating the Hybridization of Parallel Evolutionary Algorithms in Cluster Computing Environments
    Khalloof, Hatem
    Ciftci, Sergen
    Shahoud, Shadi
    Duepmeier, Clemens
    Foerderer, Kevin
    Hagenmeyer, Veit
    [J]. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022, 2022, : 2001 - 2008
  • [3] An Exploration of Two Evolutionary Computing for Function Optimization
    LUAN Shao-jun
    [J]. 中国管理信息化, 2009, 12 (15) : 68 - 71
  • [4] Evolutionary parallel local search for function optimization
    Guo, GQ
    Yu, SY
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2003, 33 (06): : 864 - 876
  • [5] Island Model for Parallel Evolutionary Optimization of Spiking Neuromorphic Computing
    Schuman, Catherine D.
    Plank, James S.
    Patton, Robert M.
    Potok, Thomas E.
    [J]. PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 306 - 307
  • [6] A parallel computing and mathematical method optimization of CNN network convolution
    Su, Yue
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2021, 80
  • [7] Research on Parallel Task Optimization of High Performance Computing Cluster
    Shang, Jiandong
    Sheng, Dongpu
    Liu, Runjie
    Wu, Shuangyan
    Li, Panle
    [J]. PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 777 - 780
  • [8] Parallel and distributed evolutionary computations for multimodal function optimization
    Rupela, V
    Dozier, G
    [J]. MULTIMEDIA, IMAGE PROCESSING AND SOFT COMPUTING: TRENDS, PRINCIPLES AND APPLICATIONS, 2002, 13 : 307 - 312
  • [9] A parallel reinforcement computing model for function optimization problems
    Qian, F
    Ikebou, S
    Kusunoki, T
    Wu, JJ
    Hirata, H
    [J]. SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 2305 - 2310
  • [10] Optimization of Parallel Manipulators Using Evolutionary Algorithms
    Barbosa, Manuel R.
    Solteiro Pires, E. J.
    Lopes, Antonio M.
    [J]. SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 2010, 73 : 79 - +
12345