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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 8 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
131
Voted
ATAL
2010
Springer
15 years 4 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
120
Voted
DAC
1998
ACM
15 years 8 months ago
Arithmetic Optimization Using Carry-Save-Adders
Carry-save-adderCSA is the most often used type of operation in implementing a fast computation of arithmetics of register-transfer level design in industry. This paper establis...
Taewhan Kim, William Jao, Steven W. K. Tjiang
ICPR
2000
IEEE
16 years 4 months ago
Stereo Analysis Using Individual Evolution Strategy
This paper presents an individual evolutionary strategy devised for image analysis applications. The example problem chosen is obstacle detection using a pair of cameras. The algo...
Jean Louchet
RECOMB
2006
Springer
16 years 4 months ago
Evolution of Tandemly Repeated Sequences Through Duplication and Inversion
Abstract. Given a phylogenetic tree T for a family of tandemly repeated genes and their signed order O on the chromosome, we aim to find the minimum number of inversions compatible...
Denis Bertrand, Mathieu Lajoie, Nadia El-Mabrouk, ...