Stochastic online decisioning hyper-heuristic for high dimensional optimization
W Xia, G Hongwei, Z Mingde, H Yaqing, S Mingyang - Applied Intelligence, 2024 - Springer
Most existing heuristic optimizers are found to be restricted to problems of moderate
dimensionality, and their performance suffers when solving high-dimensional or large-scale …
dimensionality, and their performance suffers when solving high-dimensional or large-scale …
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization
X Ma, S Liu, W Hong - arXiv preprint arXiv:2211.09498, 2022 - arxiv.org
It has been widely observed that there exists no universal best Multi-objective Evolutionary
Algorithm (MOEA) dominating all other MOEAs on all possible Multi-objective Optimization …
Algorithm (MOEA) dominating all other MOEAs on all possible Multi-objective Optimization …
Algorithm Portfolios
KE Parsopoulos, IS Kotsireas, PM Pardalos - Encyclopedia of Optimization, 2023 - Springer
Optimization problems arise in almost all aspects of contemporary scientific and engineering
activity. The main goal is the detection of an optimal solution vector within a given search …
activity. The main goal is the detection of an optimal solution vector within a given search …