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Design and evaluation of a heuristic optimization tool based on evolutionary grammars using PSoCs
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Design and evaluation of a heuristic optimization tool based on evolutionary grammars using PSoCs
Journal
Communications in Computer and Information Science
Date Issued
2020
Author(s)
Vallejo Mancero B.
Zapata, Mireya
Centro de investigación en Mecatrónica y Sistemas Interactivos
Topón-Visarrea L.
Universidad Indoamérica
Malagón P.
Type
Conference Paper
DOI
10.1007/978-3-030-45016-8_11
URL
https://cris.indoamerica.edu.ec/handle/123456789/8879
Abstract
Currently, the evolutionary computing techniques are increasingly used in different fields, such as optimization, machine learning, and others. The starting point of the investigation is a set of optimization tools based on these techniques and one of them is called evolutionary grammar [1]. It is a evolutionary technique derived from genetic algorithms and used to generate programs automatically in any type of language. The present work is focused on the design and evaluation of hardware acceleration technique through PSoC, for the execution of evolutionary grammar. For this, a ZYNQ development platform is used, in which the logical part is used to implement factory modules and independents hardware blocks made up of a soft-processor, memory BRAM, and a CORDIC module developed to perform arithmetic operations. The processing part is used for the execution of the algorithm. Throughout the development, the procedures and techniques used for hardware and software design are specified, and the viability of the implementation is analyzed considering the comparison of the algorithm execution times in Java versus the execution times in Hardware. © Springer Nature Switzerland AG 2020.
Subjects
Increased Reality; Ma...
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Acquisition Date
Dec 6, 2024
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