The Impact of Global Structure on Search

  • Authors:
  • Monte Lunacek;Darrell Whitley;Andrew Sutton

  • Affiliations:
  • Colorado State University, Fort Collins, Colorado, USA 80523;Colorado State University, Fort Collins, Colorado, USA 80523;Colorado State University, Fort Collins, Colorado, USA 80523

  • Venue:
  • Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
  • Year:
  • 2008

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Abstract

Population-based methods are often considered superior on multimodal functions because they tend to explore more of the fitness landscape before they converge. We show that the effectiveness of this strategy is highly dependent on a function's global structure. When the local optima are not structured in a predictable way, exploration can misguide search into sub-optimal regions. Limiting exploration can result in a better non-intuitive global search strategy.