conservation. A multi-objective optimization model of industrial structure of economic-social-environmental system was constructed …

in the updated solution approaches and algorithms applied to both single-objective and multi-objective GVRP. Notably, 92 …, metaheuristics are predominant in addressing multi-objective GVRP, with NSGA-II being the most frequently proposed algorithm …

We present a framework for multi-objective optimization where the classical mean-variance portfolio model is extended …-dimensional Pareto front, we apply an efficient multi-objective genetic algorithm, which is based on the concept of ɛ-dominance. We next …

that embraces automated machine learning pipelines and a multi-objective optimization algorithm for improving the …

assignment and establish two multi-objective linear integer programming models for proposal assignment. We introduce a definition …-partitioning algorithm is designed to solve the multi-objective models with integer objectives. When the problem size is large, two meta …

tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large … multi-objective evolutionary algorithms to portfolio optimisation is established, and a novel evolutionary algorithm based …

evaluate the cost efficiency of carbon emission reduction. A multi-objective optimization was conducted which varied the …

-constraint method is introduced for the presented multi-objective model to generate Pareto-optimal solutions. To depict the accuracy of …

introduce a multi-objective DHNN, a key innovation that enhances the model's storage capacity. In this context, a novel training …