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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
16 years 1 months ago
An evolutionary platform for developing next-generation electronic circuits
In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generatio...
James A. Hilder, Andy M. Tyrrell
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 1 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
163views Optimization» more  GECCO 2007»
16 years 1 months ago
Supporting free-form design using a component based representation: an overview
This paper reviews the development of an interactive evolutionary design system (IEDS) for conceptual design, which integrates an agent based ‘build and evolve’ approach with ...
Azahar T. Machwe, Ian C. Parmee
KES
2007
Springer
16 years 1 months ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza