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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 7 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
ANOR
2007
166views more  ANOR 2007»
15 years 6 months ago
Memetic particle swarm optimization
Abstract We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in a...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
MFCS
2009
Springer
16 years 1 months ago
On the Structure of Optimal Greedy Computation (for Job Scheduling)
We consider Priority Algorithm [BNR03] as a syntactic model of formulating the concept of greedy algorithm for Job Scheduling, and we study the computation of optimal priority alg...
Periklis A. Papakonstantinou
AES
2000
Springer
98views Cryptology» more  AES 2000»
15 years 11 months ago
How Well Are High-End DSPs Suited for the AES Algorithms? AES Algorithms on the TMS320C6x DSP
The National Institute of Standards and Technology (NIST) has announced that one of the design criteria for the Advanced Encryption Standard (AES) algorithm was the ability to eï¬...
Thomas J. Wollinger, Min Wang, Jorge Guajardo, Chr...
JMLR
2010
194views more  JMLR 2010»
15 years 1 months ago
A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
Elham Salehi, Jayashree Nyayachavadi, Robin Gras