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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months 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
SAC
2004
ACM
15 years 3 months 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
EVOW
2004
Springer
15 years 3 months ago
Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...
Enrique Alba, Bernabé Dorronsoro
SBCCI
2005
ACM
185views VLSI» more  SBCCI 2005»
15 years 3 months ago
Automatic generation of test sets for SBST of microprocessor IP cores
Higher integration densities, smaller feature lengths, and other technology advances, as well as architectural evolution, have made microprocessor cores exceptionally complex. Cur...
Ernesto Sánchez, Matteo Sonza Reorda, Giova...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 3 months ago
The second harmonic generation case-study as a gateway for es to quantum control problems
The Second Harmonic Generation (SHG), a process that turns out to be a good test case in the physics lab, can also be considered as a fairly simple theoretical test function for g...
Ofer M. Shir, Thomas Bäck