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ESOA
2006
15 years 10 months ago
Reinforcement Learning for Online Control of Evolutionary Algorithms
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Marti...
IJON
2000
80views more  IJON 2000»
15 years 6 months ago
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
Ismail Salih, Stanley H. Smith, Derong Liu
AINA
2007
IEEE
16 years 1 months ago
A Real-Time Scheduling Algorithm with Buffer Optimization for Embedded Signal Processing Systems
Embedded signal processing system is a typical type of application in embedded domain. Such systems typically have requirements on high real-time responsiveness and large buffer c...
Nan Guan, Mingsong Lv, Qingxu Deng, Ge Yu
NDSS
2006
IEEE
16 years 21 days ago
Deploying a New Hash Algorithm
The strength of hash functions such as MD5 and SHA-1 has been called into question as a result of recent discoveries. Regardless of whether or not it is necessary to move away fro...
Steven M. Bellovin, Eric Rescorla
OL
2011
190views Neural Networks» more  OL 2011»
15 years 1 months ago
On optimality of a polynomial algorithm for random linear multidimensional assignment problem
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...
Pavlo A. Krokhmal