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» Improving Local Search for Fuzzy Scheduling Problems
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AAAI
1994
13 years 8 months ago
Noise Strategies for Improving Local Search
It has recently been shown that local search is surprisingly good at nding satisfying assignments for certain computationally hard classes of CNF formulas. The performance of basi...
Bart Selman, Henry A. Kautz, Bram Cohen
AI
2003
Springer
14 years 8 days ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
JSSPP
2009
Springer
14 years 1 months ago
Decentralized Grid Scheduling with Evolutionary Fuzzy Systems
In this paper, we address the problem of finding workload exchange policies for decentralized Computational Grids using an Evolutionary Fuzzy System. To this end, we establish a n...
Alexander Fölling, Christian Grimme, Joachim ...
WSC
2008
13 years 9 months ago
The improved sweep metaheuristic for simulation optimization and application to job shop scheduling
We present an improved sweep metaheuristic for discrete event simulation optimization. The sweep algorithm is a tree search similar to beam search. The basic idea is to run a limi...
George Jiri Mejtsky
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Randomised Variable Neighbourhood Search for Multi Objective Optimisation
Various local search approaches have recently been applied to machine scheduling problems under multiple objectives. Their foremost consideration is the identification of the set ...
Martin Josef Geiger