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PLILP
1993
Springer
14 years 1 months ago
Narrowing Approximations as an Optimization for Equational Logic Programs
Abstract. Solving equations in equational theories is a relevant programming paradigm which integrates logic and equational programming into one unified framework. Efficient metho...
María Alpuente, Moreno Falaschi, Marí...
JMLR
2006
92views more  JMLR 2006»
13 years 9 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
TELSYS
2011
207views Education» more  TELSYS 2011»
13 years 4 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
DAC
2002
ACM
14 years 10 months ago
An integer linear programming based approach for parallelizing applications in On-chip multiprocessors
With energy consumption becoming one of the first-class optimization parameters in computer system design, compilation techniques that consider performance and energy simultaneous...
Ismail Kadayif, Mahmut T. Kandemir, Ugur Sezer
BMEI
2008
IEEE
14 years 3 months ago
Adaptive Gene Expression Programming Algorithm Based on Cloud Model
Standard Gene Expression Programming(GEP) works with fixed rate of mutation and crossover, ignoring the variation of the individual fitness, hence it works in the local optimum st...
Yue Jiang, Chang-jie Tang, Haichun Zheng, Chuan Li...