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ISDA
2010
IEEE
14 years 7 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
ICLP
2005
Springer
15 years 3 months ago
Towards an Integration of Answer Set and Constraint Solving
Answer set programming (ASP for short) is a declarative problem solving framework that has been recently attracting the attention of researchers for its expressiveness and for its...
Sabrina Baselice, Piero A. Bonatti, Michael Gelfon...
CSCLP
2005
Springer
15 years 3 months ago
A Hybrid Benders' Decomposition Method for Solving Stochastic Constraint Programs with Linear Recourse
Abstract. We adopt Benders’ decomposition algorithm to solve scenariobased Stochastic Constraint Programs (SCPs) with linear recourse. Rather than attempting to solve SCPs via a ...
Armagan Tarim, Ian Miguel
WSCG
2004
118views more  WSCG 2004»
14 years 11 months ago
New Method for Geometric Constraint Solving Based on the Genetic Quantum Algorithm
This paper proposes a novel genetic quantum algorithm (GQA) to solve geometric constraint problems. Instead of binary, numeric or symbolic representation, we introduce qubit chrom...
Chunhong Cao, Wenhui Li
AIPS
2006
14 years 11 months ago
Tractable Optimal Competitive Scheduling
In this paper we describe the problem of Optimal Competitive Scheduling, which consists of activities that compete for a shared resource. The objective is to choose a subset of ac...
Jeremy Frank, James Crawford, Lina Khatib, Ronen I...