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» Constraint-Based Combinators for Local Search
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 10 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
SC
2005
ACM
15 years 10 months ago
Integrated Loop Optimizations for Data Locality Enhancement of Tensor Contraction Expressions
A very challenging issue for optimizing compilers is the phase ordering problem: In what order should a collection of compiler optimizations be performed? We address this problem ...
Swarup Kumar Sahoo, Sriram Krishnamoorthy, Rajkira...
CLEF
2004
Springer
15 years 10 months ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...
157
Voted
CP
2003
Springer
15 years 10 months ago
Using the Breakout Algorithm to Identify Hard and Unsolvable Subproblems
Abstract. Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to de...
Carlos Eisenberg, Boi Faltings
AIMSA
2008
Springer
15 years 7 months ago
A Hybrid Approach to Distributed Constraint Satisfaction
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
David Lee, Inés Arana, Hatem Ahriz, Kit-Yin...