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ICGA
1997
86views Optimization» more  ICGA 1997»
13 years 7 months ago
Performance of Diploid Dominance with Genetically Synthesized Signal Processing Networks
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...
F. Greene
VLSID
2005
IEEE
131views VLSI» more  VLSID 2005»
14 years 6 months ago
Efficient Space/Time Compression to Reduce Test Data Volume and Testing Time for IP Cores
Abstract-- We present two-dimensional (space/time) compression techniques that reduce test data volume and test application time for scan testing of intellectual property (IP) core...
Lei Li, Krishnendu Chakrabarty, Seiji Kajihara, Sh...
CLOUDCOM
2010
Springer
13 years 4 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
CORR
2010
Springer
427views Education» more  CORR 2010»
13 years 4 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg
KBSE
2007
IEEE
14 years 17 days ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies