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86
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TASE
2008
IEEE
14 years 9 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
COMCOM
2007
123views more  COMCOM 2007»
14 years 9 months ago
Heuristic and optimal techniques for light-trail assignment in optical ring WDM networks
In this paper we address the problem of constrained optimization (ILP formulation) and propose a set of heuristic algorithms for assigning light-trails [1–4,7,10] to WDM ring ne...
Ashwin Gumaste, Paparao Palacharla
CEC
2010
IEEE
14 years 7 months ago
The one-commodity traveling salesman problem with selective pickup and delivery: An ant colony approach
We introduce a novel combinatorial optimization problem: the one-commodity traveling salesman problem with selective pickup and delivery (1-TSP-SELPD), characterized by the fact th...
Rafael Falcón, Xu Li, Amiya Nayak, Ivan Sto...
AAAI
2007
14 years 11 months ago
Learning to Solve QBF
We present a novel approach to solving Quantified Boolean Formulas (QBF) that combines a search-based QBF solver with machine learning techniques. We show how classification met...
Horst Samulowitz, Roland Memisevic
83
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ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
15 years 1 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram