Multiobjective optimization in bioinformatics and computational biology

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This paper reviews the application of multiobjective optimization in the fields of bioinformatics and computational biology. A survey of existing work, organized by application area, forms the main body of the review, following an introduction to the key concepts in multiobjective optimization. An original contribution of the review is the identification of five distinct "contexts," giving rise to multiple objectives: These are used to explain the reasons behind the use of multiobjective optimization in each application area and also to point the way to potential future uses of the technique. © 2007 IEEE.
Original languageEnglish
Pages (from-to)279-291
Number of pages12
JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
Issue number2
Publication statusPublished - Apr 2007


  • Bioinformatics (genome or protein) databases
  • Classification and association rules
  • Clustering
  • Experimental design
  • Global optimization
  • Interactive data exploration and discovery
  • Machine learning


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