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» Improving Evolutionary Algorithms with Scouting
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PPSN
2004
Springer
14 years 1 months ago
Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation
Abstract. We introduce the concept of fruitful regions in a dynamic routing context: regions that have a high potential of generating loads to be transported. The objective is to m...
Jano I. van Hemert, Johannes A. La Poutré
EVOW
2009
Springer
14 years 17 days ago
Evolutionary Freight Transportation Planning
In this paper, we present the freight transportation planning component of the INWEST project. This system utilizes an evolutionary algorithm with intelligent search operations in ...
Thomas Weise, Alexander Podlich, Kai Reinhard, Chr...
CEC
2010
IEEE
13 years 9 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
HEURISTICS
2008
120views more  HEURISTICS 2008»
13 years 8 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
CEC
2007
IEEE
14 years 2 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao