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» Embedded core testing using genetic algorithms
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CEC
2007
IEEE
15 years 6 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
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 6 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin
CEC
2009
IEEE
15 years 9 months ago
Towards creative design using collaborative interactive genetic algorithms
— We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floor...
Juan C. Quiroz, Sushil J. Louis, Amit Banerjee, Se...
CODES
2005
IEEE
15 years 8 months ago
The design of a smart imaging core for automotive and consumer applications: a case study
This paper describes the design of a low-cost, low-power smart imaging core that can be embedded in cameras. The core integrates an ARM 9 processor, a camera interface and two spe...
Wido Kruijtzer, Winfried Gehrke, Víctor Rey...
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JCM
2006
144views more  JCM 2006»
15 years 2 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui