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GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 8 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
14 years 6 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
AAAI
2008
15 years 6 months ago
Efficient Memoization for Dynamic Programming with Ad-Hoc Constraints
We address the problem of effective reuse of subproblem solutions in dynamic programming. In dynamic programming, a memoed solution of a subproblem can be reused for another if th...
Joxan Jaffar, Andrew E. Santosa, Razvan Voicu
119
Voted
DAGSTUHL
2003
15 years 5 months ago
Organising Computation through Dynamic Grouping
Abstract. There are a range of abstractions used for both modelling and proof modern computational systems. While these abstractions may have been devised for specific purposes, t...
Michael Fisher, Chiara Ghidini, Benjamin Hirsch