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CEC
2010
IEEE
14 years 12 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 11 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
EVOW
2006
Springer
15 years 3 months ago
A Neural Evolutionary Classification Method for Brain-Wave Analysis
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach...
Antonia Azzini, Andrea Tettamanzi
COLCOM
2008
IEEE
15 years 6 months ago
Replication in Overlay Networks: A Multi-objective Optimization Approach
Recently, overlay network-based collaborative applications such as instant messaging, content sharing, and Internet telephony are becoming increasingly popular. Many of these appli...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
ICANN
2003
Springer
15 years 4 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...