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» Optimization of Genetic Operators for Scheduling Problems
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HAIS
2009
Springer
15 years 4 months ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
DATE
2004
IEEE
122views Hardware» more  DATE 2004»
15 years 3 months ago
Phase Coupled Code Generation for DSPs Using a Genetic Algorithm
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
Markus Lorenz, Peter Marwedel
ICTAI
1997
IEEE
15 years 4 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 3 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
VLDB
1994
ACM
153views Database» more  VLDB 1994»
15 years 3 months ago
Optimization Algorithms for Exploiting the Parallelism-Communication Tradeoff in Pipelined Parallelism
We address the problem of finding parallel plans for SQL queries using the two-phase approach of join ordering followed by parallelization. We focus on the parallelization phase a...
Waqar Hasan, Rajeev Motwani