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» Chemical-Reaction-Inspired Metaheuristic for Optimization
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ECAI
2008
Springer
13 years 10 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 8 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
COR
2006
120views more  COR 2006»
13 years 8 months ago
A hybrid setup for a hybrid scenario: combining heuristics for the home health care problem
Home health care, i.e. visiting and nursing patients in their homes, is a growing sector in the medical service business. From a staff rostering point of view, the problem is to f...
Stefan Bertels, Torsten Fahle
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 3 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
14 years 2 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith