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320
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EMO
2009
Springer
190views Optimization» more  EMO 2009»
16 years 2 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
268
Voted
EMO
2009
Springer
235views Optimization» more  EMO 2009»
16 years 2 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
198
Voted
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
16 years 2 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
16 years 2 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
189
Voted
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
16 years 2 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
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