Energy-saving application of multi-objective particle swarm optimization algorithm in low-carbon interior design
To address the challenge of synergistically optimizing multiple conflicting objectives, energy efficiency, low carbon emissions, and occupant comfort, in indoor design, this study proposes an improved multi-objective particle swarm optimization (IMOPSO) framework. Tailored to the mixed heterogeneous nature of design va...