前面我们提到，在无线通信的理论研究工作中，我们通常需要建立一个优化问题以实现资源分配。这个优化问题将包括优化目标以及约束条件。相比于单目标优化问题， 多目标优化问题[1]是系统性地同时 …

Aug 29, 2024 · 多目标优化 (Multi-objective Optimization Problem, MOP)也叫多目标规划， 即同时优化多个目标的规划问题。 求解多目标规划的有两种方法：一种是 合成型， 将多目标转化成单目标决策问 …

Deterministic multi-objective optimization A priori methods: preference selection before optimization weighted-sum methods (non-convexity is an issue) -constrained methods (infeasibility is an issue) …

Feb 1, 2025 · In this paper, we have proposed a deep reinforcement learning assisted evolutionary algorithm for expensive constrained multi-objective optimization. By leveraging deep neural networks …

Apr 15, 2024 · Therefore, to fill this gap, this paper attempts to conduct a multi-objective optimization study on the energy consumption, daylighting, and thermal comfort of residential buildings in hot …

Jan 1, 2011 · As the name suggests, multi-objective optimisation involves optimising a number of objectives simultaneously. The problem becomes challenging when the objectives are of conflicting …

Apr 15, 2025 · The multi-objective optimization model developed in this study provides a structured and systematic approach to balancing economic, environmental, and operational objectives within an IES.

Feb 28, 2025 · The optimization of building performance has gained significant attention over the past two decades, driven by the need for energy efficiency, occupant comfort, and environmental …

Feb 1, 2025 · Meanwhile, a multi-objective topology optimization is introduced to freely evolve the distribution of fluid domain embedded into cold plate under specified constraint conditions. The multi …

Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as logistics, finance, …