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WSC
2004
13 years 11 months ago
Optimization by Simulation Metamodelling Methods
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...
Russell C. H. Cheng, Christine S. M. Currie
JPDC
2006
117views more  JPDC 2006»
13 years 10 months ago
Efficient synthesis of out-of-core algorithms using a nonlinear optimization solver
We address the problem of efficient out-of-core code generation for a special class of imperfectly nested loops encoding tensor contractions arising in quantum chemistry computati...
Sandhya Krishnan, Sriram Krishnamoorthy, Gerald Ba...
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
14 years 3 months ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
ASPDAC
2004
ACM
74views Hardware» more  ASPDAC 2004»
14 years 1 months ago
Optimal design of high fan-in multiplexers via mixed-integer nonlinear programming
- In this paper, a novel strategy for designing the heterogeneous-tree multiplexer is proposed. We build the multiplexer delay model by curve fitting and then formulate the heterog...
Hsu-Wei Huang, Cheng-Yeh Wang, Jing-Yang Jou
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 1 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens