Sciweavers

EPIA
2009
Springer
14 years 6 months ago
Comparing Different Properties Involved in Word Similarity Extraction
In this paper, we will analyze the behavior of several parameters, namely type of contexts, similarity measures, and word space models, in the task of word similarity extraction fr...
Pablo Gamallo Otero
EMO
2009
Springer
235views Optimization» more  EMO 2009»
14 years 6 months ago
Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance
Abstract. The Vehicle Routing Problem with Time Windows is a complex combinatorial optimization problem which can be seen as a fusion of two well known sub-problems: the Travelling...
Abel Garcia-Najera, John A. Bullinaria
EMO
2009
Springer
163views Optimization» more  EMO 2009»
14 years 6 months ago
Ant Colony Optimization
Thomas Stützle
EMO
2009
Springer
155views Optimization» more  EMO 2009»
14 years 6 months ago
An Improved Version of Volume Dominance for Multi-Objective Optimisation
Abstract. This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volum...
Khoi Le, Dario Landa Silva, Hui Li
EMO
2009
Springer
143views Optimization» more  EMO 2009»
14 years 6 months ago
Scatter Search and Path Relinking
Manuel Laguna
EMO
2009
Springer
149views Optimization» more  EMO 2009»
14 years 6 months ago
Evolutionary Multiobjective Optimization for Dynamic Hospital Resource Management
Anke K. Hutzschenreuter, Peter A. N. Bosman, Han L...
EMO
2009
Springer
147views Optimization» more  EMO 2009»
14 years 6 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...
EMO
2009
Springer
190views Optimization» more  EMO 2009»
14 years 6 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 6 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck