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TASE
2008
IEEE
15 years 6 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»
15 years 5 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
15 years 4 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
15 years 8 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
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
15 years 10 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