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KES
1999
Springer
15 years 2 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
SIGMOD
2010
ACM
189views Database» more  SIGMOD 2010»
15 years 2 months ago
Recsplorer: recommendation algorithms based on precedence mining
We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
Aditya G. Parameswaran, Georgia Koutrika, Benjamin...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
CIG
2005
IEEE
15 years 3 months ago
Forcing Neurocontrollers to Exploit Sensory Symmetry Through Hard-wired Modularity in the Game of Cellz
Several attempts have been made in the past to construct encoding schemes that allow modularity to emerge in evolving systems, but success is limited. We believe that in order to c...
Julian Togelius, Simon M. Lucas
TEC
2010
77views more  TEC 2010»
14 years 4 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader