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» Approximating max-min linear programs with local algorithms
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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 4 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Using Parallel Algorithms for Searching Molecular Sequence Databases
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
Carla Correa Tavares dos Reis, Rubem P. Mondaini
CP
2005
Springer
15 years 3 months ago
Approximations in Distributed Optimization
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Adrian Petcu, Boi Faltings
CORR
2002
Springer
133views Education» more  CORR 2002»
14 years 9 months ago
Sequential and Parallel Algorithms for Mixed Packing and Covering
We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...
Neal E. Young
POPL
2006
ACM
15 years 10 months ago
A fixpoint calculus for local and global program flows
We define a new fixpoint modal logic, the visibly pushdown ?-calculus (VP-?), as an extension of the modal ?-calculus. The models of this logic are execution trees of structured p...
Rajeev Alur, Swarat Chaudhuri, P. Madhusudan