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» On Set-Based Multiobjective Optimization
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 11 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2009
Springer
167views Optimization» more  GECCO 2009»
14 years 2 months ago
Fixed-parameter evolutionary algorithms and the vertex cover problem
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...
Stefan Kratsch, Frank Neumann
ICNS
2008
IEEE
14 years 2 months ago
Traffic Distribution Forecasting in Packet-Switching Networks
: Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network con...
Faramak Zandi
GECCO
2004
Springer
14 years 1 months ago
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
Farzan Rashidi, Mehran Rashidi
ROCAI
2004
Springer
14 years 1 months ago
ROC Optimisation of Safety Related Systems
Abstract. Many safety related and critical systems warn of potentially dangerous events; for example the Short Term Conflict Alert (STCA) system warns of airspace infractions betw...
Jonathan E. Fieldsend, Richard M. Everson