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CEC
2010
IEEE
15 years 7 months ago
Evolving programs with parameters and loops
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
Gayan Wijesinghe, Victor Ciesielski
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
Rigorous analyses of fitness-proportional selection for optimizing linear functions
Rigorous runtime analyses of evolutionary algorithms (EAs) mainly investigate algorithms that use elitist selection methods. Two algorithms commonly studied are Randomized Local S...
Edda Happ, Daniel Johannsen, Christian Klein, Fran...
ANOR
2007
80views more  ANOR 2007»
15 years 6 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
APIN
2007
118views more  APIN 2007»
15 years 6 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
CORR
2010
Springer
119views Education» more  CORR 2010»
15 years 6 months ago
Graph-Constrained Group Testing
Non-adaptive group testing involves grouping arbitrary subsets of n items into different pools. Each pool is then tested and defective items are identified. A fundamental question...
Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Ve...