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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 29 days ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
ICANN
2005
Springer
16 years 29 days ago
Evolution of Heuristics for Give-Away Checkers
The efficacy of two evolutionary approaches to the problem of generation of heuristical linear and non-linear evaluation functions in the game of give-away checkers is tested in th...
Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk
190
Voted
ISSADS
2005
Springer
16 years 28 days ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...
SEKE
2005
Springer
16 years 28 days ago
Application of Design Combinatorial Theory to Scenario-Based Software Architecture Analysis
Design combinatorial theory for test-case generation has been used successfully in the past. It is useful in optimizing test cases as it is practically impossible to exhaustively t...
Chung-Horng Lung, Marzia Zaman
SAC
2004
ACM
16 years 26 days ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl