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CEC
2007
IEEE
13 years 5 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
EPIA
1997
Springer
13 years 10 months ago
GenSAT: A Navigational Approach
GenSATis a family of local hill-climbing procedures for solving propositional satisfiability problems.We restate it as a navigational search process performed on an N-dimensionalc...
Yury V. Smirnov, Manuela M. Veloso
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 5 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
AMAI
2004
Springer
13 years 11 months ago
Warped Landscapes and Random Acts of SAT Solving
Recent dynamic local search (DLS) algorithms such as SAPS are amongst the state-of-the-art methods for solving the propositional satisfiability problem (SAT). DLS algorithms modi...
Dave A. D. Tompkins, Holger H. Hoos
AIPS
2008
13 years 8 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan