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ATS
2000
IEEE
98views Hardware» more  ATS 2000»
15 years 11 months ago
Embedded core testing using genetic algorithms
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
Ruofan Xu, Michael S. Hsiao
KBSE
1997
IEEE
15 years 11 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
ICTAI
1993
IEEE
15 years 11 months ago
Short Term Unit-Commitment Using Genetic Algorithms
Unit commitment is a complex decision-making process because of multiple constraints which must not be violated while nding the optimal or a near-optimal commitment schedule. This...
Dipankar Dasgupta, Douglas R. McGregor
CEC
2007
IEEE
15 years 10 months ago
Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search
Abstract-- Shotgun sequencing is the state-of-the-art to decode genome sequence. However this technique needs a lot of fragments. Combining those fragments correctly requires enorm...
Satoko Kikuchi, Goutam Chakraborty
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha