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352views
14 years 4 months ago
Efficient methods for near-optimal sequential decision making under uncertainty
This chapter discusses decision making under uncertainty. More specifically, it offers an overview of efficient Bayesian and distribution-free algorithms for making near-optimal se...
Christos Dimitrakakis
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 2 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
ICCAD
1999
IEEE
86views Hardware» more  ICCAD 1999»
14 years 1 months ago
Clock skew scheduling for improved reliability via quadratic programming
This paper considers the problem of determining an optimal clock skew schedule for a synchronous VLSI circuit. A novel formulation of clock skew scheduling as a constrained quadrat...
Ivan S. Kourtev, Eby G. Friedman
HASE
2002
IEEE
14 years 1 months ago
An Approach to Specify and Test Component-Based Dependable Software
Components (in-house or pre-fabricated) are increasingly being used to reduce the cost of software development. Given that these components may not have not been developed with de...
Arshad Jhumka, Martin Hiller, Neeraj Suri
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 3 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens