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SAT
2007
Springer
95views Hardware» more  SAT 2007»
15 years 10 months ago
Solving Multi-objective Pseudo-Boolean Problems
Integer Linear Programs are widely used in areas such as routing problems, scheduling analysis and optimization, logic synthesis, and partitioning problems. As many of these proble...
Martin Lukasiewycz, Michael Glaß, Christian ...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 9 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
ECAI
2008
Springer
15 years 6 months ago
A new Approach for Solving Satisfiability Problems with Qualitative Preferences
The problem of expressing and solving satisfiability problems (SAT) with qualitative preferences is central in many areas of Computer Science and Artificial Intelligence. In previo...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...
AI
2005
Springer
15 years 4 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
ITS
2000
Springer
137views Multimedia» more  ITS 2000»
15 years 8 months ago
Design Principles for a System to Teach Problem Solving by Modelling
This paper presents an approach to the design of a learning environment in a mathematical domain (elementary combinatorics) where problem solving is based more on modelling than o...
Gérard Tisseau, Hélène Giroir...