A novel genetic algorithm with cell crossover for circuit design optimization

Zhiguo Bao, Takahiro Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Evolvable Hardware (EHW) is a new field about the use of Evolutionary Algorithms (EA) to synthesize a circuit. Genetic Algorithm (GA) is one of the typical EA. In traditional GA, the crossover is one-point crossover or two-point crossover. One-point crossover and two-point crossover change the genes of individuals too many in one time and they are not flexible, so it may lose some useful genes. In this paper, we propose the novel cell crossover. The cell crossover can change genes more flexibly and enhance more diversification to search spaces than one-point crossover and two-point crossover, so that we can find better solution. We propose optimal circuit design by using GA with cell crossover (GAcc), and with fitness function composed of circuit complexity, power and signal delay. Simulation results show GAcc is superior to traditional GA in point of the best elite fitness, the average value of fitness of correct circuits and the number of correct circuits. The best optimal circuit generated by GAcc is 27.9% better in evaluating value than that by GA with one-point crossover.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages2982-2985
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei
Duration: 2009 May 242009 May 27

Other

Other2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
CityTaipei
Period09/5/2409/5/27

Fingerprint

Genetic algorithms
Networks (circuits)
Genes
Evolutionary algorithms
Design optimization
Hardware

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Bao, Z., & Watanabe, T. (2009). A novel genetic algorithm with cell crossover for circuit design optimization. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 2982-2985). [5118429] https://doi.org/10.1109/ISCAS.2009.5118429

A novel genetic algorithm with cell crossover for circuit design optimization. / Bao, Zhiguo; Watanabe, Takahiro.

Proceedings - IEEE International Symposium on Circuits and Systems. 2009. p. 2982-2985 5118429.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bao, Z & Watanabe, T 2009, A novel genetic algorithm with cell crossover for circuit design optimization. in Proceedings - IEEE International Symposium on Circuits and Systems., 5118429, pp. 2982-2985, 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009, Taipei, 09/5/24. https://doi.org/10.1109/ISCAS.2009.5118429
Bao Z, Watanabe T. A novel genetic algorithm with cell crossover for circuit design optimization. In Proceedings - IEEE International Symposium on Circuits and Systems. 2009. p. 2982-2985. 5118429 https://doi.org/10.1109/ISCAS.2009.5118429
Bao, Zhiguo ; Watanabe, Takahiro. / A novel genetic algorithm with cell crossover for circuit design optimization. Proceedings - IEEE International Symposium on Circuits and Systems. 2009. pp. 2982-2985
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