IMPLICIT PARALLELISM IN GENETIC ALGORITHMS

被引:39
|
作者
BERTONI, A
DORIGO, M
机构
[1] INT COMP SCI INST,1947 CTR ST,SUITE 600,BERKELEY,CA 94704
[2] UNIV MILAN,DIPARTIMENTO SCI INFORMAZ,I-20135 MILAN,ITALY
关键词
D O I
10.1016/0004-3702(93)90071-I
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is related to Holland's result on implicit parallelism. Roughly speaking, Holland showed a lower bound of the order of n3/c1 square-root l to the number of schemata usefully processed by the genetic algorithm in a population of n = c1 . 2l binary strings, with c1 a small integer. We analyze the case of a population of n = 2betal binary strings where beta is a positive parameter (Holland's result is related to the case beta = 1). In the main result, we state a lower bound on the expected number of processed schemata for all beta > 0; moreover, we prove that this bound is tight up to a constant for all beta greater-than-or-equal-to 1 and, in this case, we strengthen in probability the previous result.
引用
收藏
页码:307 / 314
页数:8
相关论文
共 50 条
  • [1] The theoretic research of implicit parallelism in the processing of genetic algorithms
    Zhang, GD
    Wang, ZZ
    [J]. INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4, 1996, : 1922 - 1924
  • [2] HOW GENETIC ALGORITHMS WORK - A CRITICAL-LOOK AT IMPLICIT PARALLELISM
    GREFENSTETTE, JJ
    BAKER, JE
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, 1989, : 20 - 27
  • [3] Physical model of implicit parallelism in algorithms
    Wang, Peng
    Chang, Zheng
    [J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2009, 38 (04): : 588 - 591
  • [4] Analysis of implicit parallelism in evolutionary algorithms: A stochastic version
    Ding, LX
    Kang, LS
    [J]. ICCIMA 2001: FOURTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS, 2001, : 172 - 179
  • [5] Realizable architecture for genetic algorithms parallelism
    Tang, KS
    Ho, YC
    Man, KF
    [J]. ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1997, 1997, : 233 - 238
  • [6] Implicit parallelism
    Wright, AH
    Vose, MD
    Rowe, JE
    [J]. GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS, 2003, 2724 : 1505 - 1517
  • [7] Implicit alternative splicing for genetic algorithms
    Rohlfshagen, Philipp
    Bullinaria, John A.
    [J]. 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 47 - 54
  • [8] EXPLICIT PARALLELISM OF GENETIC ALGORITHMS THROUGH POPULATION STRUCTURES
    GORGESSCHLEUTER, M
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1991, 496 : 150 - 159
  • [9] Improving flexibility and efficiency by adding parallelism to genetic algorithms
    Alba, E
    Troya, JM
    [J]. STATISTICS AND COMPUTING, 2002, 12 (02) : 91 - 114
  • [10] Improving flexibility and efficiency by adding parallelism to genetic algorithms
    Enrique Alba
    José M. Troya
    [J]. Statistics and Computing, 2002, 12 : 91 - 114