Research Article Open Access Ali M S Kashkooli et al., Int J Swarm Intel Evol Comput 2014, 4:2 http://dx.doi.org/10.4172/2090-4908.1000119 Research Article Open Access Volume 4 • Issue 2 • 1000119 Int J Swarm Intel Evol Comput ISSN: 2090-4908 SIEC, an open access journal International Journal of Swarm Intelligence and Evolutionary Computation In te r n a ti o n a l J o u r n a l o f S w a r m In te llig e n c e a n d E v o l u t i o n a r y C o m p u t a tio n ISSN: 2090-4908 Keywords: Regenerative design; Future identiication; Evolutionary algorithms; Evolutionary computation Introduction- Regenerative Developments During the last century the global of industrialisation has caused some un-wanted negative impacts on human socio-economic behaviours as well as the global environment. Although he ‘Sustainability Concept’ (also introduced as ‘green design’ concept in many literatures) has tried to address the resource consumptions (such as energy, water, food etc.) and preventation of the further socio-economic and environmental impacts, the previous one- century damages are still existing. his in turn, has translated into a further solution recently introduced as ‘Regeneration’ or ‘Regenerative Developments’ (RD) [1,2] . he main challenge of RD is to provide and to consider the potentials for ‘Renew’, ‘Re-birth’ and ‘recover’ the previously caused damages to human socio-economic relations as well as the environment. Accordingly, the regeneration concept intends on further than ‘generation-consumption’ systems (Figure 1). herefore, in order to be regenerative, a system must provide the factors such as ‘being sustainable for today’, ‘being sustainable for tomorrow’, and ‘recovering the previously caused damages on economy, society and environment’. herefore, a set of “resource-related strategies within cycles – from nature and back to nature” have been proposed as follows: y “Produce: resources are renewable and are sourced or generated either onsite or locally. y Use: resources are used efectively in satisfying human needs. y Recycle: resources are used for multiple purposes and beneits. Replenish: rather than diminish natural capital during the production of resources and assimilation of ‘waste’, replenishes and builds natural capital.”[4,5]. Regenerative Design considers a much more complex set of potential exchanges associated with both Net Zero and Net Positive systems. Accordingly, the impacts are being assessed in the following ways [5] Grid-connected impacts: includes all inter-connections of the system/s with their surrounding system/s and neighbourhoods and exchanges of energy, water, wastes etc. “Grid connection is a necessary and core requirement of net zero/[positive] energy buildings” [5]. y Waste scavenging: includes spotting the wastes and problems within the existing systems and infrastructures to prevent further damages. his process considers the improvements of *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: a.kashkooli@akidltd.com Received August 13, 2015; Accepted September 01, 2015; Published 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 ive 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 identiication requirements, of Regenerative Developments. Therefore, as an interdisciplinary discussion, the paper argues the applicable systems to develop evolutionary algorithms, with a speciic focus in Genetic Algorithms (GA), as one of the most eficient approaches to for evolutionary quantiication. Furthermore, the paper introduces the Second Life approach as a signiicant 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. A Critical Approach for Evolution Analysis in Regenerative Developments Ali M S Kashkooli 1 *, Ehsan Daneshi 2 and Abraham M Hashemian 2 1 AKID Consultants Ltd., Vancouver, BC, Canada 2 Simon Fraser University, Vancouver, BC, Canada Figure 1: Regenerative vs. Sustainable; the general concept [3].