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WSC
2004
14 years 11 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
71
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ICGI
2004
Springer
15 years 3 months ago
Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA
State Merging algorithms, such as Rodney Price’s EDSM (Evidence-Driven State Merging) algorithm, have been reasonably successful at solving DFA-learning problems. EDSM, however, ...
John Abela, François Coste, Sandro Spina
EVOW
2009
Springer
15 years 4 months ago
Binary Exponential Back Off for Tabu Tenure in Hyperheuristics
In this paper we propose a new tabu search hyperheuristic which makes individual low level heuristics tabu dynamically using an analogy with the Binary Exponential Back Off (BEBO) ...
Stephen Remde, Keshav P. Dahal, Peter I. Cowling, ...
EUROSIM
1994
14 years 11 months ago
Pact: An Environment for Parallel Heuristic Programming
This paper introduces Pact, a new model for parallel heuristic programming on MIMD machines. Designed and implemented as an integrated tool environment, Pact allows the user to dev...
Marc Aguilar, Béat Hirsbrunner
TIT
1998
79views more  TIT 1998»
14 years 9 months ago
Greedy and Heuristic Algorithms for Codes and Colorings
Abstract— Many of the fundamental coding problems can be represented as graph problems. These problems are often intrinsically difficult and unsolved even if the code length is ...
Tuvi Etzion, Patric R. J. Östergård