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» Evolving Temporal Association Rules with Genetic Algorithms
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EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 26 days ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
CEC
2008
IEEE
14 years 3 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
VLDB
1998
ACM
142views Database» more  VLDB 1998»
14 years 23 days ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...
ACRI
2004
Springer
14 years 1 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck