NDLI: On the applicability of diploid genetic algorithms

Content Provider	Springer Nature Link
Author	Bhasin, Harsh Mehta, Sushant
Copyright Year	2015
Abstract	The heuristic search processes like simple genetic algorithms help in achieving optimization but do not guarantee robustness so there is an immediate need of a machine learning technique that also promises robustness. Diploid genetic algorithms ensure consistent results and can therefore replace Simple genetic algorithms in applications such as test data generation and regression testing, where robustness is more important. However, there is a need to review the work that has been done so far in the field. It is also important to analyse the applicability of the premise of the dominance techniques applied so far in order to implement the technique. The work presents a systematic review of diploid genetic algorithms, examines the premise of the dominance relation used in different works and discusses the future scope. The work also discusses the biological basis of evaluating dominance. The work is important as the future of machine learning relies on techniques that are robust as well as efficient.
Starting Page	265
Ending Page	274
Page Count	10
File Format	PDF
ISSN	09515666
Journal	AI & SOCIETY
Volume Number	31
Issue Number	2
e-ISSN	14355655
Language	English
Publisher	Springer London
Publisher Date	2015-08-28
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Diploid genetic algorithms Robustness Dominance Allele Artificial Intelligence (incl. Robotics) Computer Science Engineering Economics, Organization, Logistics, Marketing Control, Robotics, Mechatronics Performing Arts Methodology of the Social Sciences
Content Type	Text
Resource Type	Article
Subject	Philosophy Artificial Intelligence Human-Computer Interaction

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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