alexa A Critical Approach for Evolution Analysis in Regenerative Developments
ISSN: 2090-4908

International Journal of Swarm Intelligence and Evolutionary Computation
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Research Article

A Critical Approach for Evolution Analysis in Regenerative Developments

Ali M S Kashkooli1*, Ehsan Daneshi2 and Abraham M Hashemian2

1AKID Consultants Ltd., Vancouver, BC, Canada

2Simon Fraser University, Vancouver, BC, Canada

Corresponding Author:
Ali M S Kashkooli
Principal of AKID Consultants Ltd.
#3002, 1033 Marina side Crescent, Vancouver, BC, Canada
Tel: +1-604-655-3940
E-mail: [email protected]

Received date: August 13, 2015; Accepted date: September 01, 2015; Published date: September 06, 2015

Citation: Kashkooli AMS, Daneshi E, Hashemian AM (2015) A Critical Approach for Evolution Analysis in Regenerative Developments. Int J Swarm Intel Evol Comput 4:119. doi:10.4172/2090-4908.1000119

Copyright: © 2015 Kashkooli AMS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Over the recent five years, the Regenerative Design concept has considerably intended to understand the factors of recovering the environmental and socioeconomic damages of the last-century global industrialization. Moreover, it has attempted to consider the evolutions within and out-with its assessing system/s. As a short communication, this paper attempts to argue the fundamentals to develop precise computerized Evolution Analysis Systems (EAS), in order to address the future identification requirements, of Regenerative Developments. Therefore, as an interdisciplinary discussion, the paper argues the applicable systems to develop evolutionary algorithms, with a specific focus in Genetic Algorithms (GA), as one of the most efficient approaches to for evolutionary quantification. Furthermore, the paper introduces the Second Life approach as a significant example of evolutionary computation, to achieve better EASs, as a foundation of reliable Regenerative Analysis Systems (RAS). Indeed, the paper suggests, a critical evolution-based Regenerative Analysis approach, as a basis to develop future Regenerative Analysis and Regenerative Design software.

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