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AAAI
2007
14 years 12 months ago
Computing Optimal Subsets
Various tasks in decision making and decision support require selecting a preferred subset of items from a given set of feasible items. Recent work in this area considered methods...
Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shi...
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
14 years 10 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
COMPSAC
2004
IEEE
15 years 1 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
ASE
1998
81views more  ASE 1998»
14 years 9 months ago
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques
The process of understanding a source code in a high-level programming language involves complex computation. Given a piece of legacy code and a library of program plan templates, ...
Steven G. Woods, Qiang Yang
AAAI
2000
14 years 11 months ago
Extracting Effective and Admissible State Space Heuristics from the Planning Graph
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
XuanLong Nguyen, Subbarao Kambhampati