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CORR
2007
Springer
83views Education» more  CORR 2007»
15 years 3 months ago
Simulation of Phase Combinations in Shape Memory Alloys Patches by Hybrid Optimization Methods
In this paper, phase combinations among martensitic variants in shape memory alloys patches and bars are simulated by a hybrid optimization methodology. The mathematical model is ...
Linxiang X. Wang, Roderick V. N. Melnik
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment
Many challenges remain in the development of tactical planning systems that will enable automated, cooperative replanning of routes and mission assignments for multiple unmanned gr...
Talib S. Hussain, David J. Montana, Gordon Vidaver
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 8 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
HAIS
2009
Springer
15 years 8 months ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...