IEEE

Interval Multi-Objective Optimization for Low-Carbon Building Energy Management System Upon Deep Reinforcement Learning

Abstract: To improve building energy efficiency and reduce the impact of scheduling uncertainty, a low-carbon optimization method for intelligent buildings based on deep reinforcement learning ...
IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
Nature

Multi-Objective Optimization Using Evolutionary Algorithms

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
Frontiers

Multi-objective day-ahead resilience improvement method for distribution network with high renewable energy penetration considering uncertainty of load and source sides

With the increasing integration of a high proportion of renewable energy, the fluctuation characteristics of distributed power generation such as wind and photovoltaic energy affect the safe and ...
Frontiers

Optimum design of double tuned mass dampers using multiple metaheuristic multi-objective optimization algorithms under seismic excitation

The tuned mass damper is one of the most frequently employed structural control devices for mitigating dynamic vibrations in structures subjected to earthquake ground motions. Conventional tuned mass ...
GitHub

Multi-Objective Causal Bayesian Optimisation (MO-CBO)

This repository is associated with the paper Multi-Objective Causal Bayesian Optimization, jointly written at the University of Cambridge and the Technical University of Munich (TUM). We propose multi ...