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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 2 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
ENDM
2010
112views more  ENDM 2010»
13 years 6 months ago
On the complexity of the Eulerian closed walk with precedence path constraints problem
The Eulerian closed walk problem in a digraph is a well-known polynomial-time solvable problem. In this paper, we show that if we impose the feasible solutions to fulfill some pre...
Hervé Kerivin, Mathieu Lacroix, Ali Ridha M...
QCQC
1998
Springer
110views Communications» more  QCQC 1998»
14 years 1 months ago
The Hidden Subgroup Problem and Eigenvalue Estimation on a Quantum Computer
Abstract. A quantum computer can efficiently find the order of an element in a group, factors of composite integers, discrete logarithms, stabilisers in Abelian groups, and hidden ...
Michele Mosca, Artur Ekert
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 22 days ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
MP
2006
110views more  MP 2006»
13 years 9 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski