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Darwin's Roadmap to the CurriculumEvolutionary Studies in Higher Education$
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Glenn Geher, David Sloan Wilson, Hadassah Head, and Andrew Gallup

Print publication date: 2019

Print ISBN-13: 9780190624965

Published to Oxford Scholarship Online: May 2019

DOI: 10.1093/oso/9780190624965.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 06 December 2021

From Genetic Evolution to Engineering Optimization

From Genetic Evolution to Engineering Optimization

Chapter:
(p.219) Chapter 11 From Genetic Evolution to Engineering Optimization
Source:
Darwin's Roadmap to the Curriculum
Author(s):

Yaser Khalifa

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190624965.003.0011

This chapter focuses on one of the main members of the evolutionary algorithms class called genetic algorithms (GAs). GAs mimic the process of sexual reproduction and survival of the fittest in nature. The process begins by coding the design parameters into a chromosome-like structure to form an individual member. Next, a prespecified number of individual members are generated with different genetic contents to form a population. For each member of the population, a measure of its fitness or success is calculated. The members “most fit” in the population are then allowed to mate and reproduce, to have children. The children create a new and better generation of population, and the process repeats until an optimum solution or solutions are produced. This chapter illustrates how GAs are used to solve the following two problems: electronic circuit design problem and music composition.

Keywords:   artificial intelligence, nature, intelligent algorithms, genetic algorithms, evolutionary algorithms, evolution, evolutionary theory, technology

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