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» Hybrid Optimizations: Which Optimization Algorithm to Use
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140
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TNN
1998
132views more  TNN 1998»
15 years 2 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
122
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GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 8 months ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
139
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FPGA
2006
ACM
141views FPGA» more  FPGA 2006»
15 years 7 months ago
A reconfigurable architecture for hybrid CMOS/Nanodevice circuits
This report describes a preliminary evaluation of possible performance of an FPGA-like architecture for future hybrid "CMOL" circuits which combine a semiconductor-trans...
Dmitri B. Strukov, Konstantin Likharev
122
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JUCS
2008
150views more  JUCS 2008»
15 years 3 months ago
Optimal Sensor Network Layout Using Multi-Objective Metaheuristics
: Wireless Sensor Networks (WSN) allow, thanks to the use of small wireless devices known as sensor nodes, the monitorization of wide and remote areas with precision and liveness u...
Guillermo Molina, Enrique Alba, El-Ghazali Talbi
119
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SWARM
2010
SPRINGER
154views Optimization» more  SWARM 2010»
15 years 1 months ago
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Wei Wang, Pengtao Zhang, Ying Tan