Optimisation algorithms for plant breeding

01 October 2012 → 14 June 2013
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
    • Bioinformatics and computational biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Bioinformatics and computational biology
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
  • Engineering and technology
    • Scientific computing
metaheuristics optimisation plant breeding
Project description

Plant breeding is the practice of creating improved varieties of cultivated crops with for instance a higher yield, better appearance or enhanced disease resistance. We will develop optimisation algorithms to construct good crossing schedules, which will lead to individuals that possess a selection of desired favorable traits. Plant breeding projects typically contain large collections of varieties, which are often too large to be handled in practice. We will develop algorithms to select a smaller subset that is still a good representative of the complete collection.