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SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 6 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
AE
2007
Springer
15 years 6 months ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera
ECWEB
2003
Springer
104views ECommerce» more  ECWEB 2003»
15 years 5 months ago
e-Procurement Using Goal Programming
Abstract. e-Procurement is an Internet-based business process for obtaining materials and services and managing their inflow into the organization. In this paper we develop multia...
S. Kameshwaran, Y. Narahari
EUROGP
1999
Springer
151views Optimization» more  EUROGP 1999»
15 years 4 months ago
Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
Anna Esparcia-Alcázar, Ken Sharman
WSC
2008
15 years 2 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell