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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
14 years 19 days ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
14 years 19 days ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
14 years 19 days ago
Recursive least squares and quadratic prediction in continuous multistep problems
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
Daniele Loiacono, Pier Luca Lanzi
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
14 years 19 days ago
Bond-graphs + genetic programming: analysis of an automatically synthesized rotary mechanical system
Initial results of an experiment devised to combine Bond-Graph modeling and simulation with genetic programming for automated design of a simple mechatronic system are reported in...
Saheeb Ahmed Kayani, Muhammad Afzaal Malik
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
14 years 19 days ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
14 years 19 days ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 19 days ago
How social structure and institutional order co-evolve beyond instrumental rationality
This study proposes an agent-based model where adaptively learning agents with local vision who are situated in the Prisoner’s Dilemma game change their strategy and location as...
Jae-Woo Kim
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 19 days ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
14 years 19 days ago
Self-adaptive constructivism in Neural XCS and XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull, Pier Luca Lanzi
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
14 years 19 days ago
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...
Gilles Énée, Mathias Péroumal...