An efficient mixture sampling model for Gaussian estimation of distribution algorithm
From MaRDI portal
Publication:6195456
DOI10.1016/j.ins.2022.07.016OpenAlexW4285082629WikidataQ114167320 ScholiaQ114167320MaRDI QIDQ6195456
Maoguo Gong, Wei-Feng Gao, Qianlong Dang
Publication date: 13 March 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2022.07.016
evolutionary algorithmpremature convergenceGaussian estimation of distribution algorithmefficient mixture sampling model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed estimation of distribution algorithms for continuous optimization: how does the exchanged information influence their behavior?
- Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
- An estimation of distribution algorithm for minimizing the total flowtime in permutation flowshop scheduling problems
- Model selection for support vector machines via uniform design
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Dynamic multi-objective estimation of distribution algorithm based on domain adaptation and nonparametric estimation
- Scalable optimization via probabilistic modeling. From algorithms to applications.
- ERG-DE: an elites regeneration framework for differential evolution
- Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies
- A Survey on Estimation of Distribution Algorithms
- A survey of optimization by building and using probabilistic models
This page was built for publication: An efficient mixture sampling model for Gaussian estimation of distribution algorithm