A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization

DOI10.1007/s10100-013-0289-4zbMath1339.90335OpenAlexW2127021640WikidataQ57861567 ScholiaQ57861567MaRDI QIDQ301230

Humberto Rocha, Brígida Ferreira, Joana Dias

Publication date: 30 June 2016

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10316/44633

zbMATH Keywords

neural networksgenetic algorithmsradiotherapysurrogate modelIMRT

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (8)

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Uses Software

• CERR

Cites Work

• Selection of intensity modulated radiation therapy treatment beam directions using radial basis functions within a pattern search methods framework
• A two-phase method for selecting IMRT treatment beam angles: branch-and-prune and local neighborhood search
• A collaboratory for radiation therapy treatment planning optimization research
• Neighborhood search approaches to beam orientation optimization in intensity modulated radiation therapy treatment planning
• Optimisation of beam directions in intensity modulated radiation therapy planning
• Integer programming applied to intensity-modulated radiation therapy treatment planning
• Beam selection in radiotherapy design
• Comment on ‘Sufficient condition for the asymptotic stability of interval matrices’
• Evolutionary Approach to Inverse Planning in Coplanar Radiotherapy
• Data mining. Concepts and techniques
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