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SIAMSC
2008
147views more  SIAMSC 2008»
15 years 3 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
172
Voted
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 1 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
133
Voted
CICLING
2007
Springer
15 years 9 months ago
Finite-State Technology as a Programming Environment
Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
Shuly Wintner
113
Voted
EMO
2005
Springer
126views Optimization» more  EMO 2005»
15 years 9 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
ICCSA
2005
Springer
15 years 9 months ago
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems...
H. M. Prasanna, D. Ghose, M. S. Bhat, Chiranjib Bh...