Construction of Multi-objective Optimization Model for Landscape Health Activity Space Design
Keywords:
Multi-Objective Optimization, Health Benefits, Space Design, Reliability ComputationAbstract
Space design is to create spaces that cater to the needs and preferences of the people who will use them. This can involve designing residential spaces such as homes and apartments, commercial spaces like offices and retail stores, and public spaces such as museums, libraries, and recreational areas. This paper presents a novel approach for Landscape Health Activity Space Design, with Reliability Multi-Objective Optimization (RMOO) to create sustainable and user-centric outdoor environments that promote physical activity and mental well-being. The RMOO model computes a balance between greenery density, pathway length, and accessibility while considering budget constraints. Through the RMOO process, a diverse set of Pareto solutions was obtained, offering decision-makers multiple landscape design options to choose from. The proposed RMOO model uses the Pareto optimization model with the computation of the multi-optimization factors. Sensitivity analysis was conducted to assess the robustness of the solutions to uncertainties, aiding in the selection of stable design configurations. Convergence analysis demonstrated the optimization algorithm's effectiveness in improving solutions over generations. The simulation environment confirmed the proposed designs' positive impact on physical activity and mental well-being, enhancing the overall landscape health. The RMOO approach offers a valuable tool for designing healthier and more sustainable outdoor spaces, contributing to improved public well-being and a greener future.
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