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EVOW
2001
Springer
15 years 9 months ago
Path Tracing in Genetic Algorithms Applied to the Multiconstrained Knapsack Problem
This contribution investigates the usefulness of F. Glover’s path tracing concept within a Genetic Algorithm context for the solution of the multiconstrained knapsack problem (MK...
Jens Levenhagen, Andreas Bortfeldt, Hermann Gehrin...
IEAAIE
1994
Springer
15 years 8 months ago
Using the Genetic Algorithm to Find Snake-in-the-Box Codes
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown t...
Walter D. Potter, Robert W. Robinson, John A. Mill...
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
15 years 8 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
15 years 8 months ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee
DAC
1995
ACM
15 years 8 months ago
DARWIN: CMOS Opamp Synthesis by Means of a Genetic Algorithm
—DARWIN is a tool that is able to synthesize CMOS opamps, on the basis of a genetic algorithm. A randomly generated initial set of opamps evolves to a set in which the topologies...
Wim Kruiskamp, Domine Leenaerts