Particle swarm optimization using Gaussian inertia weight

被引：23

作者：

Pant, Millie ^{[1
]}

Radha, T. ^{[1
]}

Singh, V. P. ^{[1
]}

机构：

[1] Indian Inst Technol Roorkee, Dept Paper Technol, Saharanpur 247001, India

来源：

ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ICCIMA.2007.96

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 have proposed three variations of the Basic Particle S-warm Optimization (BPSO), called GWPSO+ED, GWPSO+GD and GWPSO+UD, The novelty of the approach is the combination a newly developed inertia weight with different probability distributions. The. numerical results of the modified versions are compared with the BPSO. Simulations show that the proposed versions are comparable with BPSO and in most of the cases give superior performance.

引用

页码：97 / 102

页数：6