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CEC
2010
IEEE
13 years 9 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
CORR
2004
Springer
87views Education» more  CORR 2004»
13 years 8 months ago
Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Eri...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 9 days ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
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...
COR
2011
13 years 3 months ago
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows
The Vehicle Routing Problem with Time Windows is a complex combinatorial problem with many real-world applications in transportation and distribution logistics. Its main objective...
Abel Garcia-Najera, John A. Bullinaria