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161
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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
150
Voted
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
145
Voted
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 9 months ago
Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem
In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...
Felix Streichert, Holger Ulmer, Andreas Zell
EVOW
2001
Springer
15 years 8 months ago
Automated Solution of a Highly Constrained School Timetabling Problem - Preliminary Results
This work introduces a highly constrained school timetabling problem which was modeled from the requirements of a German high school. The concept for solving the problem uses a hyb...
Marc Bufé, Tim Fischer, Holger Gubbels, Cla...
243
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ASC
2011
14 years 10 months ago
Evolutionary cepstral coefficients
Evolutionary algorithms provide flexibility and robustness required to find satisfactory solutions in complex search spaces. This is why they are successfully applied for solvin...
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Die...