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TEC
2002
117views more  TEC 2002»
14 years 9 months ago
A genetic algorithm for shortest path routing problem and the sizing of populations
This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Chang Wook Ahn, Rudrapatna S. Ramakrishna
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 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
PODC
2003
ACM
15 years 2 months ago
Oblivious signature-based envelope
We propose a new cryptographic primitive called oblivious signaturebased envelope (OSBE). Informally, an OSBE scheme enables a sender to send an envelope (encrypted message) to a ...
Ninghui Li, Wenliang Du, Dan Boneh
BMCBI
2007
141views more  BMCBI 2007»
14 years 9 months ago
Reconstruction of human protein interolog network using evolutionary conserved network
Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
Tao-Wei Huang, Chung-Yen Lin, Cheng-Yan Kao
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 3 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann