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A proposal of GA based speedy selection method: A green approach

机译:基于GA的快速选择方法的建议:一种绿色方法

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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.
机译:由于我们的生活变得越来越依赖计算机,因此计算机系统的快速利用得到了广泛的提高。因此,计算机资源对环境的影响也增加了,这就是自然资源的退化。为了减少这种影响,引入了绿色计算理论来提高效率,提高能源效率,实现生态保护和节约能源。 1990年代初开始以“能源之星”之类的计划开始关注绿色计算,但是近来全球气候的剧烈变化已经重新引起了人们对绿色计算的兴趣。这种变化背后的驱动力来自不断增长的业务计算需求,快速增长的能源成本负担,对全球变暖问题的认识日益增强以及国家能源安全意识的增强。直到今天,随着我们的客观问题域规模也不断增加,进化算法的使用正在增加。因此,我们的问题领域正在从单个目标变为多个目标,并且有许多目标正在发展。因此,本文给出了绿色计算的清晰视图,并提出了一种改进的遗传算法以使其具有更高的绿色效率。

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