DocumentCode :
238309
Title :
A proposal of GA based speedy selection method: A green approach
Author :
Mehrotra, Neetesh ; Mishra, B.S.P. ; Chandra Murthy Vedula, S.R.
Author_Institution :
Sch. of Comput. Eng., KIIT Univ., Bhubaneswar, India
fYear :
2014
fDate :
8-10 May 2014
Firstpage :
386
Lastpage :
390
Abstract :
As our life has become too dependent on computers, rapid utilization of computer systems are increased widely. Therefore, the impact of computer resources on our environment has also increased, that is degrading natural resources. To reduce the effect, the green computing theory has been introduced to improve efficiency, to make energy efficient and realize ecological protection and save energy. Focus on green computing has started in early 1990´s with the program like Energy star, but recent drastic changes in global climate has renewed the interest in green computing. The driving force behind this change comes from the ever growing business computing needs, fast growing burden of energy cost, growing awareness of global warming issues and increasing sense of national energy security. As today, The use of Evolutionary Algorithm is increasing as our objective problem domain size is also increasing. Therefore, our problem domain is going from single objective to multiple objectives and many objectives are in trend. Therefore this paper gives a clear cut view on green computing and a modified genetic algorithm to make it green efficient.
Keywords :
energy conservation; genetic algorithms; green computing; GA based speedy selection method; ecological protection; energy efficiency; environment impact; evolutionary algorithm; genetic algorithm; global warming issues; green computing theory; multiple objectives; national energy security; Biological cells; Green products; Sociology; Statistics; Genetic Algorithm; Green Computing; Micro Genetic Algorithm; Real Coded Genetic Algorithm; Selection Process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
Type :
conf
DOI :
10.1109/ICACCCT.2014.7019469
Filename :
7019469
Link To Document :
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