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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
CEC
2008
IEEE
14 years 2 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
COGSCI
2010
234views more  COGSCI 2010»
13 years 8 months ago
High Regularities in Eye-Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism
With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tigh...
Xiaohui Kong, Christian D. Schunn, Garrick L. Wall...
AAIM
2009
Springer
143views Algorithms» more  AAIM 2009»
13 years 5 months ago
Discrete online TSP
In this paper we introduce a discrete version of the online traveling salesman problem (DOLTSP). We represent the metric space using a weighted graph, where the server is allowed t...
Mauro Aprea, Esteban Feuerstein, Gustavo Sadovoy, ...
AAIM
2010
Springer
165views Algorithms» more  AAIM 2010»
13 years 12 months ago
Finding Good Tours for Huge Euclidean TSP Instances by Iterative Backbone Contraction
Abstract. This paper presents an iterative, highly parallelizable approach to find good tours for very large instances of the Euclidian version of the well-known Traveling Salesma...
Christian Ernst, Changxing Dong, Gerold Jäger...