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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 5 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
ISLPED
2006
ACM
99views Hardware» more  ISLPED 2006»
15 years 5 months ago
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power
All existing methods for thermal-via allocation are based on a steady-state thermal analysis and may lead to excessive number of thermal vias. This paper develops an accurate and ...
Hao Yu, Yiyu Shi, Lei He, Tanay Karnik
ANOR
2006
133views more  ANOR 2006»
14 years 11 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...
IPPS
1998
IEEE
15 years 3 months ago
Low Memory Cost Dynamic Scheduling of Large Coarse Grain Task Graphs
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot
AUTOMATICA
2008
167views more  AUTOMATICA 2008»
14 years 11 months ago
Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....