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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
14 years 10 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
DAC
2004
ACM
15 years 10 months ago
Efficient on-line testing of FPGAs with provable diagnosabilities
We present novel and efficient methods for on-line testing in FPGAs. The testing approach uses a ROving TEster (ROTE), which has provable diagnosabilities and is also faster than ...
Vinay Verma, Shantanu Dutt, Vishal Suthar
ICCBR
1995
Springer
15 years 1 months ago
On the use of CBR in optimisation problems such as the TSP
The particular strength of CBR is normally considered to be its use in weak theory domains where solution quality is compiled into cases and is reusable. In this paper we explore a...
Padraig Cunningham, Barry Smyth, Neil J. Hurley
CEC
2003
IEEE
15 years 3 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
84
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AAAI
2008
15 years 1 days ago
A Scalable Jointree Algorithm for Diagnosability
Diagnosability is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. An unobservable fault event in...
Anika Schumann, Jinbo Huang