The real estate property maintenance problem (REPMP) deals with the problem of the maintenance of real estate property buildings’ components using a limited budget in a limited period to achieve multiple and often conflicting objectives. Maintenance of the components requires a multiannual maintenance action plan optimized simultaneously on different criteria relative to buildings’ maintenance objectives (the quality of service, client satisfaction, regulatory compliance, etc.) while respecting a predetermined budget. This article presents an innovative modeling of REPMP into a multiobjective multidimensional knapsack problem and its optimization using a generalization of the discrete multiobjective particle swarm optimization algorithm and the Pareto optimality. An application of this methodology using data from a real estate property of 22 buildings of a major French company is presented and discussed.
This article addresses the optimization of the quality of wood—plastic composites (WPC) designed for outdoor uses such as decking, taking into account the environmental impact during the life cycle of the product, from production to end of life (from ground to ground). In a context where several conflicting objectives must be satisfied simultaneously in the design process, meta-heuristic approaches provide efficient methods for optimization. Multi-objective particle swarm optimization (MO-PSO) has been chosen here to solve a complex problem in which physical properties such as creep and duration of load, water absorption and swelling, need to be improved with a limited impact on environment. This requires to get reliable information on material properties as related to its composition, environmental impacts through life cycle analysis (LCA), and to implement relevant information such as exhaustion of fossils resources through analytical or probabilistic models in the PSO algorithm in order to obtain a set of optimal solutions for the composite. This article shows the feasibility of this approach, which can be generalized in the design of any type of composite structures, provided objective functions can be specified.
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