Sciweavers

GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
14 years 6 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 6 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 6 months ago
Comparison of tree and graph encodings as function of problem complexity
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 6 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 6 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 6 months ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 6 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 6 months ago
Division blocks and the open-ended evolution of development, form, and behavior
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...
Lee Spector, Jon Klein, Mark Feinstein
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 6 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
GECCO
2007
Springer
117views Optimization» more  GECCO 2007»
14 years 6 months ago
Modeling selection pressure in XCS for proportionate and tournament selection
In this paper, we derive models of the selection pressure in XCS for proportionate (roulette wheel) selection and tournament selection. We show that these models can explain the e...
Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanz...