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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 7 months ago
Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and Simulated Evolution, identifying the impact of various issues on the effectivene...
Sadiq M. Sait, Syed Sanaullah, Ali Mustafa Zaidi, ...
134
Voted
IPPS
2007
IEEE
15 years 8 months ago
Protein Secondary Structure Prediction using Bayesian Inference method on Decision fusion algorithms
Prediction of protein secondary structure (alpha-helix, beta-sheet, coil) from primary sequence of amino acids is a very challenging task, and the problem has been approached from...
Somasheker Akkaladevi, Ajay K. Katangur
PDPTA
2000
15 years 3 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
140
Voted
KES
1999
Springer
15 years 6 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
152
Voted
ICS
1993
Tsinghua U.
15 years 6 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...