Pareto RBF networks based on multiobjective evolutionary computation

被引：0
|
作者：
Kondo, N [1 ]
Hatanaka, T [1 ]
Uosaki, K [1 ]
机构：
[1] Osaka Univ, Dept Informat & Phys Sci, Grad Sch Informat & Phys Sci, Suita, Osaka 5650871, Japan
来源：
SICE 2004 ANNUAL CONFERENCE, VOLS 1-3 | 2004年
关键词：
RBF network; evolutionary multi-objective optimization; genetic algorithm; nonlinear system modeling;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, multi-objective structure selection of RBF networks based on evolutionary computation is considered. The RBF network structures are encoded to the chromosomes in GA. Then, they evolve toward Pareto optimum defined by some objective functions concerning with model accuracy, model complexity and connection weights. Some numerical simulation results indicate that the proposed approach can give Pareto optimum structures.
引用
收藏
页码：2177 / 2182
页数：6
相关论文
共 50 条
  • [1] VARIABLE SELECTION IN NONLINEAR MODELING BASED ON RBF NETWORKS AND EVOLUTIONARY COMPUTATION
    Patrinos, Panagiotis
    Alexandridis, Alex
    Ninos, Konstantinos
    Sarimveis, Haralambos
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2010, 20 (05) : 365 - 379
  • [2] Multiobjective evolutionary RBF networks and its application to ensemble learning
    Kondo, Nobuhiko
    Hatanaka, Toshiharu
    Uosaki, Katsuji
    FRONTIERS OF COMPUTATIONAL SCIENCE, 2007, : 321 - +
  • [3] A Classification and Pareto Domination based Multiobjective Evolutionary Algorithm
    Zhang, Jinyuan
    Zhou, Aimin
    Zhang, Guixu
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 2883 - 2890
  • [4] Pareto-based continuous evolutionary algorithms for multiobjective optimization
    Shim, MB
    Suh, MW
    Furukawa, T
    Yagawa, G
    Yoshimura, S
    ENGINEERING COMPUTATIONS, 2002, 19 (1-2) : 22 - 48
  • [5] Multiobjective Evolutionary Algorithm Based on the Pareto Archive and Individual Migration
    Qi, Rongbin
    Du, Wenli
    Wang, Zhenlei
    Qian, Feng
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 4489 - 4494
  • [6] Actively searching for committees of RBF networks using Bayesian evolutionary computation
    Joung, JG
    Zhang, BT
    PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2001, : 372 - 377
  • [7] Properly Pareto Optimality Based Multiobjective Evolutionary Algorithm for Constrained Optimization
    Dong, Ning
    PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2016, : 39 - 43
  • [8] Fast computation of equispaced Pareto manifolds and Pareto fronts for multiobjective optimization problems
    Pereyra, Victor
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2009, 79 (06) : 1935 - 1947
  • [9] Multiobjective Evolutionary Computation for Market Segmentation
    Liu, Ying
    PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), 2021, : 149 - 154
  • [10] An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts
    Jiang, Shouyong
    Yang, Shengxiang
    IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (02) : 421 - 437
12345