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Evolutionary approaches for real world applications in 21st century

Author:

Nikhil PadhyeAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

Pages 43 - 48

https://doi.org/10.1145/2330784.2330792

Published: 07 July 2012 Publication History

Abstract

Evolutionary computation is notably one of the fast growing fields of research and application and is becoming pervasive in several streams of science and engineering. This paper reviews its origin, investigates the reason for its growth and widespread applicability. The reasons for existence and advantages of other paradigms are also discussed. The goal of this paper is to underline root-causes necessary for successful deployment of evolutionary methods in diverse applications and challenges that need to be addressed in any such endeavour.

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Cited By

Saffre FHildmann H(2021)Adaptive Behaviour for a Self-Organising Video Surveillance System Using a Genetic AlgorithmAlgorithms10.3390/a1403007414:3(74)Online publication date: 25-Feb-2021
https://doi.org/10.3390/a14030074
Hamamoto ACarvalho LSampaio LAbro TProena M(2018)Network Anomaly Detection System using Genetic Algorithm and Fuzzy LogicExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.09.01392:C(390-402)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.eswa.2017.09.013
Vitaletti A(2017)GENDE: GENetic DEsignBusiness Models and ICT Technologies for the Fashion Supply Chain10.1007/978-3-319-48511-9_9(101-110)Online publication date: 11-Feb-2017
https://doi.org/10.1007/978-3-319-48511-9_9
Show More Cited By

Index Terms

Evolutionary approaches for real world applications in 21st century
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering

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cover image ACM Conferences

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

July 2012

1586 pages

ISBN:9781450311786

DOI:10.1145/2330784

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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Association for Computing Machinery

New York, NY, United States

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Published: 07 July 2012

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genetic algorithm

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GECCO '12

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SIGEVO

GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

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Cited By

Saffre FHildmann H(2021)Adaptive Behaviour for a Self-Organising Video Surveillance System Using a Genetic AlgorithmAlgorithms10.3390/a1403007414:3(74)Online publication date: 25-Feb-2021
https://doi.org/10.3390/a14030074
Hamamoto ACarvalho LSampaio LAbro TProena M(2018)Network Anomaly Detection System using Genetic Algorithm and Fuzzy LogicExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.09.01392:C(390-402)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.eswa.2017.09.013
Vitaletti A(2017)GENDE: GENetic DEsignBusiness Models and ICT Technologies for the Fashion Supply Chain10.1007/978-3-319-48511-9_9(101-110)Online publication date: 11-Feb-2017
https://doi.org/10.1007/978-3-319-48511-9_9
Fu JJin GZhang LWang JPalermo GFeo JTumeo AFranke H(2016)CAOSProceedings of the ACM International Conference on Computing Frontiers10.1145/2903150.2903151(110-118)Online publication date: 16-May-2016
https://dl.acm.org/doi/10.1145/2903150.2903151

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