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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 9 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 2 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
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 2 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
EVOW
2001
Springer
14 years 1 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...
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 2 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming