Multi-objective Bayesian artificial immune system: Empirical evaluation and comparative analyses

DOI10.1007/s10852-009-9108-2zbMath1190.90175OpenAlexW2027585316MaRDI QIDQ839516

Pablo A. D. Castro, Fernando José Von Zuben

Publication date: 2 September 2009

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-009-9108-2

zbMATH Keywords

multi-objective optimizationcombinatorial optimizationartificial immune systemBayesian networkbuilding blocks

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Combinatorial optimization (90C27)

Related Items

Multi‐objective feature selection using a Bayesian artificial immune system

Uses Software

• Omni-optimizer

Cites Work

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• A Bayesian method for the induction of probabilistic networks from data
• Scalable optimization via probabilistic modeling. From algorithms to applications.
• Evolutionary Multi-Criterion Optimization
• A survey of optimization by building and using probabilistic models