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EVOW
2008
Springer
13 years 11 months ago
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems
This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced al...
Bart G. W. Craenen, Ben Paechter
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 10 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
EVOW
2005
Springer
14 years 2 months ago
An Evolutionary Infection Algorithm for Dense Stereo Correspondence
This work presents an evolutionary approach to improve the infection algorithm to solve the problem of dense stereo matching. Dense stereo matching is used for 3D reconstruction in...
Cynthia B. Pérez, Gustavo Olague, Francisco...
IPL
2002
65views more  IPL 2002»
13 years 9 months ago
Parallel evolutionary algorithms can achieve super-linear performance
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
Enrique Alba
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
13 years 6 months ago
Multiobjective evolutionary algorithm for software project portfolio optimization
Large software companies have to plan their project portfolio to maximize potential portfolio return and strategic alignment, while balancing various preferences, and considering ...
Thomas Kremmel, Jirí Kubalík, Stefan...