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» Unsupervised Problem Decomposition Using Genetic Programming
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GECCO
2000
Springer
109views Optimization» more  GECCO 2000»
15 years 1 months ago
GP+Echo+Subsumption = Improved Problem Solving
Real-time, adaptive control is a difficult problem that can be addressed by EC architectures. We are interested in incorporating into an EC architecture some of the features that ...
William F. Punch, W. M. Rand
72
Voted
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
CEC
2009
IEEE
15 years 4 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
ECML
2007
Springer
15 years 3 months ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
106
Voted
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 1 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea