Lunacek, MonteWhitley, L. DarrellSutton, Andrew M.2013-02-072013-02-072008Lecture Notes in Computer Science, 2008; 5199:498-50797835408770040302-9743http://hdl.handle.net/2440/75350Also published as book chapter: Parallel Problem Solving from Nature – PPSN X, 2008 / Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni, Nicola Beume (eds.), pp.498-507Population-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.en© Springer-Verlag Berlin Heidelberg 2008Funnel landscapes; test functions; exploration; dynamic populationsJournal article002011962410.1007/978-3-540-87700-4_50