Evolutionary multiobjective optimization using a cultural algorithm

被引：65
|
作者：
Coello, CAC [1 ]
Becerra, RL [1 ]
机构：
[1] IPN, CINVESTAV, Colutionary Computat Grp, Dept Ing Elect,Secc Computac, Mexico City 07300, DF, Mexico
来源：
PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03) | 2003年
关键词：
cultural algorithms; multiobjective optimization; evolutionary programming;
D O I：
10.1109/SIS.2003.1202240
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, we present the first proposal to use a cultural algorithm to solve multiobjective optimization problems. Our proposal uses, evolutionary programming, Pareto ranking and elitism (i.e., an external population). The approach proposed is validated using several examples taken from the specialized literature. Our results are compared with respect to the NSCA-II, which is an algorithm representative of the state-of-the-art in evolutionary multiobjective optimization. The performance of our approach indicates that cultural algorithms are a viable alternative for multiobjective optimization.
引用
收藏
页码：6 / 13
页数：8
相关论文
共 50 条
  • [1] Optimization of a MEMS Accelerometer Using A Multiobjective Evolutionary Algorithm
    Pak, Murat
    Fernandez, Francisco V.
    Dundar, Gunhan
    2017 14TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD), 2017,
  • [2] Multiobjective Adaptive Representation Evolutionary Algorithm (MAREA) - a new evolutionary algorithm for multiobjective optimization
    Grosan, Crina
    APPLIED SOFT COMPUTING TECHNOLOGIES: THE CHALLENGE OF COMPLEXITY, 2006, 34 : 113 - 121
  • [3] A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems
    Tang, Lixin
    Wang, Xianpeng
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2013, 17 (01) : 20 - 45
  • [4] A Hybrid Evolutionary Algorithm for Multiobjective Optimization
    Ahn, Chang Wook
    Kim, Hyun-Tae
    Kim, Yehoon
    An, Jinung
    2009 FOURTH INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, PROCEEDINGS, 2009, : 19 - +
  • [5] Multiobjective design optimization by an evolutionary algorithm
    Ray, T
    Tai, K
    Seow, KC
    ENGINEERING OPTIMIZATION, 2001, 33 (04) : 399 - 424
  • [6] Multiobjective optimization of rocket engine pumps using evolutionary algorithm
    Oyama, A
    Liou, MS
    JOURNAL OF PROPULSION AND POWER, 2002, 18 (03) : 528 - 535
  • [7] Multiobjective Evolutionary Topology Optimization Algorithm Using Quadtree Encoding
    Nimura, Naruhiko
    Oyama, Akira
    IEEE ACCESS, 2024, 12 : 73839 - 73848
  • [8] Dynamic Multiobjective Optimization Using Evolutionary Algorithm with Kalman Filter
    Muruganantham, Arrchana
    Zhao, Yang
    Gee, Sen Bong
    Qiu, Xin
    Tan, Kay Chen
    17TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES2013, 2013, 24 : 66 - 75
  • [9] Multiobjective optimization of a microchannel heat sink using evolutionary algorithm
    Husain, Afzal
    Kim, Kwang-Yong
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 2008, 130 (11): : 1 - 3
  • [10] An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm
    Hong Li
    Li Zhang
    Soft Computing, 2021, 25 : 8241 - 8261
12345