Prediction in Nature-Inspired Dynamic Optimization

DOI10.1007/978-981-15-2133-1_2zbMath1485.90146OpenAlexW3011395400MaRDI QIDQ5152970

Almuth Meier, Oliver Kramer

Publication date: 28 September 2021

Published in: Springer Tracts in Nature-Inspired Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-15-2133-1_2

zbMATH Keywords

predictiondynamic optimizationevolution strategiesparticle swarm optimizationpredictive uncertainty

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59) Dynamic programming (90C39)

Cites Work

• Unnamed Item
• Evolution strategies. A comprehensive introduction
• Machine Learning for Evolution Strategies
• An Introduction to Statistical Learning
• Estimation of parameters and eigenmodes of multivariate autoregressive models

This page was built for publication: Prediction in Nature-Inspired Dynamic Optimization