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Local search (optimization)
Known as:
Local search algorithm
, K-opt
, K-Opt method
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In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems…
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Related topics
Related topics
50 relations
3-opt
Algorithm
Anytime algorithm
Approximation algorithm
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
A hybrid metaheuristic case-based reasoning system for nurse rostering
Gareth Beddoe
,
S. Petrovic
,
Jingpeng Li
Journal of Scheduling
2009
Corpus ID: 18778485
In this paper we present a novel Case-Based Reasoning (CBR) system called CABAROST (CAsed-BAsed ROSTering) which was developed…
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Highly Cited
2007
Highly Cited
2007
Using a Randomised Iterative Improvement Algorithm with Composite Neighbourhood Structures for the University Course Timetabling Problem
S. Abdullah
,
E. Burke
,
B. McCollum
Metaheuristics
2007
Corpus ID: 16897251
The course timetabling problem deals with the assignment of a set of courses to specific timeslots and rooms within a working…
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Highly Cited
2007
Highly Cited
2007
A scatter search-based heuristic to locate capacitated transshipment points
B. Keskin
,
H. Üster
Computers & Operations Research
2007
Corpus ID: 31532330
Highly Cited
2003
Highly Cited
2003
An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem
A. Shmygelska
,
H. Hoos
Canadian Conference on AI
2003
Corpus ID: 9759455
The prediction of a protein's structure from its amino-acid sequence is one of the most important problems in computational…
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Highly Cited
2003
Highly Cited
2003
On the deployment of picocellular wireless infrastructure
M. Unbehaun
,
Max Kamenetsky
IEEE wireless communications
2003
Corpus ID: 206490131
Wireless LANs are becoming increasingly common in both home and office networks. Additionally, wireless Internet service…
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Highly Cited
2001
Highly Cited
2001
Convex Optimization Methods for Sensor Node Position Estimation
L. Doherty
,
K. Pister
,
L. Ghaoui
IEEE Conference on Computer Communications
2001
Corpus ID: 231109
Highly Cited
2000
Highly Cited
2000
The new model of parallel genetic algorithm in multi-objective optimization problems - divided range multi-objective genetic algorithm
T. Hiroyasu
,
M. Miki
,
S. Watanabe
Proceedings of the Congress on Evolutionary…
2000
Corpus ID: 18222090
Proposes a divided-range multi-objective genetic algorithm (DRMOGA), which is a model for the parallel processing of genetic…
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Highly Cited
1999
Highly Cited
1999
The permutation flow shop with buffers: A tabu search approach
E. Nowicki
European Journal of Operational Research
1999
Corpus ID: 206076245
Highly Cited
1997
Highly Cited
1997
Implementation and Computational Results
N. Tönshoff
1997
Corpus ID: 117054657
In the literature (see, e.g. Bertsimas and Tsitsiklis [1994], Chvatal [1983] and Garfinkel and Nemhauser [1972]), a number of…
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Highly Cited
1987
Highly Cited
1987
Heuristic methods for flexible flow line scheduling
S. Kochhar
,
R. Morris
1987
Corpus ID: 62519905
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