The fully informed particle swarm: Simpler, maybe better

被引：922

作者：

Mendes, R ^{[1
]}

Kennedy, J

Neves, J

机构：

[1] Univ Minho, Dept Informat, P-4710057 Braga, Portugal

[2] Bur Labor Stat, Washington, DC 20212 USA

来源：

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION | 2004年 / 8卷 / 03期

关键词：

optimization; particle swarm optimization; social networks;

D O I：

10.1109/tevc.2004.826074

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The canonical particle swarm algorithm is a new approach to optimization, drawing inspiration from group behavior and the establishment of social norms. It is gaining popularity, especially because of the speed of convergence and the fact that it is easy to use. However, we feel that each individual is not simply influenced by the best performer among his neighbors. We, thus, decided to make the individuals "fully informed." The results are very promising, as informed individuals seem to find better solutions in all the benchmark functions.

引用

页码：204 / 210

页数：7

共 13 条

[1]

CARLISLE A, 2001, P WORKSH PART S OPT

[2] The particle swarm - Explosion, stability, and convergence in a multidimensional complex space [J].

Clerc, M ;

Kennedy, J .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (01) :58-73

[3]

Cook ThomasD., 1979, Quasi-experimentation: Design analysis issues for field settings

[4]

English TM, 2000, IEEE C EVOL COMPUTAT, P924, DOI 10.1109/CEC.2000.870741

[5]

Kennedy J., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1931, DOI 10.1109/CEC.1999.785509

[6]

Kennedy J, 2002, IEEE C EVOL COMPUTAT, P1671, DOI 10.1109/CEC.2002.1004493

[7]

Miranda V, 2002, IEEE C EVOL COMPUTAT, P1080, DOI 10.1109/CEC.2002.1004393

[8] Knowledge-based self-adaptation in evolutionary programming using cultural algorithms [J].

Reynolds, RG ;

Chung, CJ .

PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97), 1997, :71-76

[9]

SHI Y, 1998, EVOLUTIONARY PROGRAM, V7, P591, DOI DOI 10.1007/BFB0040810

[10]

Teukolsky SA, 1992, NUMERICAL RECIPES C, VSecond

← 1 2 →