Hardware Implementation for a Genetic Algorithm

Autor:	Pei-Yin Chen, Heidar A. Malki, Yu-Pin Chang, Ren-Der Chen, Leang-San Shieh
Rok vydání:	2008
Předmět:	education.field_of_study Computer engineering Computer science Genetic algorithm Population Crossover Electronic design automation Electrical and Electronic Engineering education Instrumentation
Zdroj:	IEEE Transactions on Instrumentation and Measurement. 57:699-705
ISSN:	1557-9662 0018-9456
DOI:	10.1109/tim.2007.913807
Popis:	A genetic algorithm (GA) can find an optimal solution in many complex problems. GAs have been widely used in many applications. A flexible-very-large-scale integration intellectual property for the GA has been proposed in this paper. This algorithm can dynamically perform various population sizes, fitness lengths, individual lengths, fitness functions, crossover operations, and mutation-rate settings to meet the real-time requirements of various GA applications. It can be seen from the simulation results that our design works very well for the three examples running at an 83-MHz clock frequency.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0f7d19979e652624011150f2ebd08168 https://doi.org/10.1109/tim.2007.913807 Zobrazit plný text záznamu