Circuit Synthesis through Combination of Evolutionary and Swarm Algorithms

被引：0

作者：

Reis, Cecilia ^{[1
]}

Machado, J. A. Tenreiro ^{[1
]}

机构：

[1] Inst Engn Porto, GECAD Knowledge Engn & Decis Support Grp, Dept Elect Engn, Rua Dr Antonio Bernardino de Almeida, P-4200072 Oporto, Portugal

来源：

PROCEEDINGS OF THE 13TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTERS | 2009年

关键词：

Computational Intelligence; Evolutionary Computation; Genetic Algorithms; Particle Swarm Optimization; Digital Circuits;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Evolutionary Computation (EC) is a growing research field of Artificial Intelligence (AI), particularly of Computational Intelligence (CI). EC is the general term for several computational techniques which use ideas and get inspiration from natural evolution/adaptation and is divided in two main areas: the Evolutionary Algorithms (EA) and the Swarm Intelligence (SI). This paper presents hybridization between an EA algorithm - the Genetic Algorithm (GA) and a Si algorithm - the Particle Swarm Optimization Algorithm (PSO). The resulting algorithm is applied to the synthesis of combinational logic circuits. With this combination is possible to take advantage of the best features of each particular algorithm.

引用

页码：115 / +

页数：3

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