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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 6 months ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 6 months ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
14 years 6 months ago
The multi-objective next release problem
This paper is concerned with the Multi-Objective Next Release Problem (MONRP), a problem in search-based requirements engineering. Previous work has considered only single objecti...
Yuanyuan Zhang, Mark Harman, S. Afshin Mansouri
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
14 years 6 months ago
Hybrid evolutionary algorithms on minimum vertex cover for random graphs
Martin Pelikan, Rajiv Kalapala, Alexander K. Hartm...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 6 months ago
Empirical analysis of generalization and learning in XCS with gradient descent
We analyze generalization and learning in XCS with gradient descent. At first, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 6 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 6 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
GECCO
2007
Springer
214views Optimization» more  GECCO 2007»
14 years 6 months ago
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
Sor Ying (Byron) Wong, Sonia Schulenburg
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
14 years 6 months ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg