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» Fitness Landscapes and Evolvability
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UM
2009
Springer
15 years 4 months ago
Filtering Fitness Trail Content Generated by Mobile Users
This paper proposes a novel trail sharing system for mobile devices that deals with context information collected by sensors, as well as users’ personal opinions (e.g., landscape...
Fabio Buttussi, Luca Chittaro, Daniele Nadalutti
ECAL
2005
Springer
15 years 3 months ago
A Co-evolutionary Epidemiological Model for Artificial Life and Death
Abstract. This paper presents a model of the co-evolution of transmissible disease and a population of non-randomly mixed susceptible agents. The presence of the disease elements i...
Alan Dorin
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
FOGA
2007
14 years 11 months ago
Saddles and Barrier in Landscapes of Generalized Search Operators
Barrier trees are a convenient way of representing the structure of complex combinatorial landscapes over graphs. Here we generalize the concept of barrier trees to landscapes deļ...
Christoph Flamm, Ivo L. Hofacker, Bärbel M. R...
TEC
2010
126views more  TEC 2010»
14 years 4 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett