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ICANN
2001
Springer
13 years 11 months ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
13 years 7 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper
ASPDAC
2006
ACM
176views Hardware» more  ASPDAC 2006»
13 years 10 months ago
Closed form solution for optimal buffer sizing using the Weierstrass elliptic function
Abstract-- This paper presents a fundamental result on buffer sizing. Given an interconnection wire with n buffers evenly spaced along the wire, we would like to size all buffers s...
Sebastian Vogel, Martin D. F. Wong
DATE
2003
IEEE
145views Hardware» more  DATE 2003»
14 years 9 days ago
Optimal Reconfiguration Functions for Column or Data-bit Built-In Self-Repair
In modern SoCs, embedded memories occupy the largest part of the chip area and include an even larger amount of active devices. As memories are designed very tightly to the limits...
Michael Nicolaidis, Nadir Achouri, Slimane Boutobz...
PEPM
2007
ACM
14 years 1 months ago
Lowering: a static optimization technique for transparent functional reactivity
Functional Reactive Programming (frp) extends traditional functional programming with dataflow evaluation, making it possible to write interactive programs in a declarative style...
Kimberley Burchett, Gregory H. Cooper, Shriram Kri...