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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ICCSA
2007
Springer
14 years 2 months ago
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks
In this paper we address the problem of working paths optimization in survivable MPLS network. We focus on an existing facility network, in which only network flows can be optimize...
Michal Przewozniczek, Krzysztof Walkowiak
PPSN
2004
Springer
14 years 2 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
14 years 1 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
ICRA
2005
IEEE
159views Robotics» more  ICRA 2005»
14 years 2 months ago
Detection and Localization of Curbs and Stairways Using Stereo Vision
— We present algorithms to detect and precisely localize curbs and stairways for autonomous navigation. These algorithms combine brightness information (in the form of edgels) wi...
Xiaoye Lu, Roberto Manduchi