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MP
2002
176views more  MP 2002»
15 years 2 days ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
99
Voted
CORR
2012
Springer
210views Education» more  CORR 2012»
13 years 8 months ago
Stability of the Max-Weight Protocol in Adversarial Wireless Networks
In this paper we consider the MAX-WEIGHT protocol for routing and scheduling in wireless networks under an adversarial model. This protocol has received a significant amount of a...
Sungsu Lim, Kyomin Jung, Matthew Andrews
102
Voted
LION
2007
Springer
139views Optimization» more  LION 2007»
15 years 6 months ago
Evolution of Fitness Functions to Improve Heuristic Performance
In this paper we introduce the variable fitness function which can be used to control the search direction of any search based optimisation heuristic where more than one objective ...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
EUC
2005
Springer
15 years 6 months ago
Loop Distribution and Fusion with Timing and Code Size Optimization for Embedded DSPs
Abstract. Loop distribution and loop fusion are two effective loop transformation techniques to optimize the execution of the programs in DSP applications. In this paper, we propo...
Meilin Liu, Qingfeng Zhuge, Zili Shao, Chun Xue, M...
207
Voted
CP
2009
Springer
16 years 1 months ago
Coalition Structure Generation Utilizing Compact Characteristic Function Representations
This paper presents a new way of formalizing the Coalition Structure Generation problem (CSG), so that we can apply constraint optimization techniques to it. Forming effective coal...
Naoki Ohta, Vincent Conitzer, Ryo Ichimura, Yuko S...