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Publication Detail
Visualising the search landscape of the triangle program
  • Publication Type:
    Conference
  • Authors:
    Langdon WB, Veerapen N, Ochoa G
  • Publication date:
    15/03/2017
  • Pagination:
    96, 113
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    10196 LNCS
  • ISBN-13:
    9783319556956
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer International Publishing AG 2017. High order mutation analysis of a software engineering benchmark, including schema and local optima networks, suggests program improvements may not be as hard to find as is often assumed. (1) Bit-wise genetic building blocks are not deceptive and can lead to all global optima. (2) There are many neutral networks, plateaux and local optima, nevertheless in most cases near the human written C source code there are hill climbing routes including neutral moves to solutions.
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