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TEC
2002
133views more  TEC 2002»
15 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
TEC
2002
152views more  TEC 2002»
15 years 7 months ago
Ant colony optimization for resource-constrained project scheduling
An ant colony optimization (ACO) approach for the resource-constrained project scheduling problem (RCPSP) is presented. Several new features that are interesting for ACO in general...
Daniel Merkle, Martin Middendorf, Hartmut Schmeck
COMCOM
2010
116views more  COMCOM 2010»
15 years 7 months ago
Optimal frame size analysis for framed slotted ALOHA based RFID networks
We offer an analytical solution for the optimal frame size of the non-muting version of the Basic Frame Slotted ALOHA collision resolution protocol for RFID networks. Previous inv...
Zornitza Genova Prodanoff
PRL
2008
161views more  PRL 2008»
15 years 7 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
SAC
2008
ACM
15 years 7 months ago
Optimizing code through iterative specialization
Code specialization is a way to obtain significant improvement in the performance of an application. It works by exposing values of different parameters in source code. The availa...
Minhaj Ahmad Khan, Henri-Pierre Charles, Denis Bar...