Ali M S Kashkooli, Ehsan Da
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.