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AE
2005
Springer
14 years 1 months ago
An Exponential Representation in the API Algorithm for Hidden Markov Models Training
In this paper, we show how an efficient ant based algorithm, called API and initially designed to perform real parameter optimization, can be adapted to the difficult problem of Hi...
Sebastien Aupetit, Nicolas Monmarché, Moham...
HM
2007
Springer
180views Optimization» more  HM 2007»
13 years 11 months ago
Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
We present two hybrid Metaheuristics, a hybrid Iterated Local Search and a hybrid Simulated Annealing, for solving real-world extensions of the Vehicle Routing Problem with Time Wi...
Tonci Caric, Juraj Fosin, Ante Galic, Hrvoje Gold,...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 1 months ago
Concept-based multi-objective problems and their solution by EC
Recent studies on the support of engineers during conceptual design resulted in a non-traditional type of Multi-Objective Problems (MOPs), namely concept-based ones. In concept-ba...
Amiram Moshaiov, Gideon Avigad
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 8 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke