112 search results - page 1 / 23 » Using CBR to Select Solution Strategies in Constraint Progra... |
ICCBR
2005
Springer
13 years 10 months ago
2005
Springer
Constraint programming is a powerful paradigm that offers many different strategies for solving problems. Choosing a good strategy is difficult; choosing a poor strategy wastes r...
FLAIRS
2008
13 years 6 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
AAAI
2007
13 years 6 months ago
2007
We present a general framework for determining the number of solutions of constraint satisfaction problems (CSPs) with a high precision. Our first strategy uses additional binary...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
SARA
2009
Springer
13 years 9 months ago
2009
Springer
An important challenge in constraint programming is to rewrite constraint models into executable programs calculating the solutions. This phase of constraint processing may requir...