to demand. However, not only the correlation between multiple optimization objectives, but also the time-varying energy … demand is ignored when establishing and solving the optimization model. In this paper, the combined cooling heating and power … compromise solution selection strategy can be used to select the appropriate optimization scheme as needed. The simulation is …

A novel multi-condition multi-objective optimization method that can find Pareto front over a defined condition space … is developed using deep reinforcement learning. Unlike the conventional methods which perform optimization at a single … developed method is examined in solutions of a modified Kursawe benchmark problem and an airfoil shape optimization problem. The …

pricing in Hongkong. A multi-objective optimization model is built considering the interests of the power grid, building users … Preference by Similarity to Ideal Solution, and Shannon entropy is developed to solve the optimization model. Three optimal …