A Novel Multi-Level Quantization Scheme for Discrete Particle Swarm Optimization

被引：0

作者：

Song, Hwachang ^{[1
]}

Diolata, Ryan B. ^{[2
]}

Joo, Young Hoon ^{[2
]}

机构：

[1] Seoul Natl Univ Technol, Dept Elect Engn, Seoul 139743, South Korea

[2] Kunsan Natl Univ, Sch Elect Engn & Informat Engn, Kunsan 573701, South Korea

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 | 2009年

关键词：

D O I：

10.1109/FUZZY.2009.5277306

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 presents a novel multi-level quantization scheme which best approximates the sigmoid function for multi-value discrete variable transformation in PSO. We define the set of multi-level quantization as integer multiples of powers-of-two terms to efficiently approximate the sigmoid function in transforming particle's position into multilevel discrete values. In this paper, the feasibility of the proposed technique was tested in photovoltaic (PV) system allocation problem, and a comparison study with genetic algorithm (GA) is performed to show the quality of the solutions obtained.

引用

页码：1834 / +

页数：2

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