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The key idea of this work, is to use risk assessment to support the user in deciding which service should be used, from a set of services developed to support life-cycle optimization, in a specific situation. The risk of a specific situation affecting an industrial plant, characterized by the symptoms, is estimated from the information stored on the system concerning the probability of occurren...

The work aims to present initial efforts to the development of an integrated user friendly (architect-oriented) tool for the environmental assessment and optimization of buildings. The tool will focus on the preliminary design phase, where improvements, having a major influence on the building lifecycle, are still possible. A software tool for dynamic simulation of the building lifecycle will b...

Because of the emergence and development of life-cycle assessment (LCA) theory, the concept of building energy efficiency has been re-evaluated. In this paper, leveraged on the advantages and features of BIM and swarm intelligence algorithms, a methodology for the assessment and optimization of BLCEC is proposed to combine the advantage of both paradigms. Based on existing research in optimizat...

Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. The proposed mathematical model minimizes the cost of heating system as the objective for a given life cycle time. For the particularity of HSP problem, the general particle swarm optimization algorithm was...

this article proposes an optimization model for preventing the waste of time in the educational and research activities' cycle of an organization such as a university. for this purpose and in order to increase efficiency and prevent the waste of time; the graph theory models have been used. the educational and research activities diagrams of a supposed university is drawn by the use of graphs t...

Each biologic must go through a process from birth, growth, reproduction until death, this process known as life cycle. This paper borrows the biologic life cycle theory to propose a Lifecycle-based Swarm Optimization (LSO) algorithm. Based on some features of life cycle, LSO designs six optimization operators: chemotactic, assimilation, transposition, crossover, selection and mutation. In this...