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134
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AIPS
2006
15 years 4 months ago
Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling
This paper presents three techniques for using an iterated local search algorithm to improve the performance of a state-of-the-art branch and bound algorithm for job shop scheduli...
Matthew J. Streeter, Stephen F. Smith
WSC
2008
15 years 5 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
160
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COR
2011
14 years 10 months ago
A hybrid shifting bottleneck-tabu search heuristic for the job shop total weighted tardiness problem
: In this paper, we study the job shop scheduling problem with the objective of minimizing the total weighted tardiness. We propose a hybrid shifting bottleneck - tabu search (SB-T...
Kerem Bülbül
118
Voted
AI
2003
Springer
15 years 8 months ago
Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness
The multi-processor total tardiness problem (MPTTP) is an ÆÈ-hard scheduling problem, in which the goal is to minimise the tardiness of a set of jobs that are processed on a numb...
Michael Pavlin, Holger H. Hoos, Thomas Stützl...
124
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CP
2008
Springer
15 years 5 months ago
Exploiting Decomposition in Constraint Optimization Problems
Decomposition is a powerful technique for reducing the size of a backtracking search tree. However, when solving constraint optimization problems (COP's) the standard techniqu...
Matthew Kitching, Fahiem Bacchus