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» Finding critical backbone structures with genetic algorithms
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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 11 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
METMBS
2004
151views Mathematics» more  METMBS 2004»
13 years 9 months ago
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis...
CHARME
1997
Springer
105views Hardware» more  CHARME 1997»
13 years 11 months ago
Simulation-based verification of network protocols performance
Formal verification techniques need to deal with the complexity of the systems rified. Most often, this problem is solved by taking an abstract model of the system and aiming at a...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Pa...
IPPS
2006
IEEE
14 years 1 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
14 years 1 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov