- author = "Alwyn V. Husselmann and K. A. Hawick",
- title = "Visualisation of Combinatorial Program Space and Related Metrics",
- booktitle = "Proc. 12th International Conference on Information and Knowledge Engineering (IKE'13)",
- year = "2013",
- address = "Las Vegas, USA",
- month = "22-25 " # jul,
- publisher = "WorldComp",
- keywords = "genetic algorithms, genetic programming, combinatorial information, knowledge engineering, visualisation, optimisation, PSO",
- owner = "kahawick",
- timestamp = "2013.03.19",
-
URL = "
http://worldcomp-proceedings.com/proc/p2013/IKE3096.pdf",
- size = "7 pages",
- abstract = "Searching a large knowledge or information space for optimal regions demands sophisticated algorithms, and sometimes unusual hybrids or combined algorithms. Choosing the best algorithm often requires obtaining a good intuitive or visual understanding of its properties and progress through a space. Visualisation in combinatorial optimisers is more challenging than visualising parametric optimizers. Each problem in combinatorial optimisation is qualitative and has a very different objective, whereas parametric optimizers are quantitative and can be visualised almost trivially. We present a method for visualising abstract syntax trees in an interactive manner, as well as some certain enhancements for evolutionary algorithms. We also discuss the use of this in improving the convergence performance of a Geometric Particle Swarm Optimiser.",
-
notes = "See also Technical Report CSTN-190
Computer Science, Massey University, North Shore 102-904, Auckland, New Zealand",
