Multi-objective Optimization in the Construction Industry
نویسندگان
چکیده
Multi-objective-optimization-based positioning of houses in a residential neighborhood is described. The task is the placement of the buildings in a favorable configuration constrained by two objectives, which are garden performance and visual privacy performance requirements. The method used is evolutionary computation with the Pareto front based on a weighted function of the objectives. It is found that greedy non-dominated solution search is inferior to the relaxed counterpart. The analysis of the Pareto-front formation is described in detail and satisfactory operation of the algorithm is presented.
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