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» Ants can solve constraint satisfaction problems
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ICTAI
2006
IEEE
14 years 5 months ago
Finding Crucial Subproblems to Focus Global Search
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
Susan L. Epstein, Richard J. Wallace
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 4 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
AI
2001
Springer
14 years 3 months ago
Search Techniques for Non-linear Constraint Satisfaction Problems with Inequalities
In recent years, interval constraint-based solvers have shown their ability to efficiently solve challenging non-linear real constraint problems. However, most of the working syst...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...
ICCBR
2003
Springer
14 years 4 months ago
Soft Interchangeability for Case Adaptation
In [1] we propose interchangeability based algorithms as methods for solving the case adaptation for the domain of problems which can be expressed as Constraint Satisfaction Proble...
Nicoleta Neagu, Boi Faltings
ATAL
2010
Springer
14 years 1 days ago
A general, fully distributed multi-agent planning algorithm
We present a fully distributed multi-agent planning algorithm. Our methodology uses distributed constraint satisfaction to coordinate between agents, and local planning to ensure ...
Raz Nissim, Ronen I. Brafman, Carmel Domshlak