Robust confidence intervals applied to crossover operator for real-coded genetic algorithms

DOI10.1007/s00500-007-0237-0zbMath1151.68592OpenAlexW1969910311MaRDI QIDQ931446

Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez

Publication date: 25 June 2008

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-007-0237-0

zbMATH Keywords

Evolutionary algorithmsOptimisation methodsReal-coded genetic algorithmsRobust confidence intervals

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• CIXL2
• Genocop

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Simultaneous statistical inference. 2nd ed
• Analyzing the statistical features of CIXL2 crossover offspring
• Hybrid crossover operators for real-coded genetic algorithms: an experimental study
• The Influence Curve and Its Role in Robust Estimation
• Confidence Interval Robustness with Long-Tailed Symmetric Distributions
• A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study
• A Rapidly Convergent Descent Method for Minimization
• The 1972 Wald Lecture Robust Statistics: A Review
• Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability
• Robust Statistics

This page was built for publication: Robust confidence intervals applied to crossover operator for real-coded genetic algorithms