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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2009
Springer
14 years 17 days ago
Search based data sensitivity analysis applied to requirement engineering
Software engineering is plagued by problems associated with unreliable cost estimates. This paper introduces an approach to sensitivity analysis for requirements engineering. It u...
Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
TSMC
2011
324views more  TSMC 2011»
13 years 2 months ago
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling
—The university course timetabling problem (UCTP) is a combinatorial optimization problem, in which a set of events has to be scheduled into time slots and located into suitable ...
Shengxiang Yang, Sadaf Naseem Jat
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
AAAI
2010
13 years 9 months ago
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...
Jeffrey Richard Long, Nathan R. Sturtevant, Michae...