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» Analysis and Presentation of Results for Mobile Local Search
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AI
1999
Springer
14 years 9 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
ICTAI
2009
IEEE
15 years 4 months ago
Learning in Local Search
In this paper a learning based local search approach for propositional satisfiability is presented. It is based on an original adaptation of the conflict driven clause learning ...
Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazu...
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 2 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
CEC
2007
IEEE
15 years 4 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke
IJAIT
2010
167views more  IJAIT 2010»
14 years 8 months ago
Bee Colony Optimization with Local Search for Traveling Salesman Problem
Many real world industrial applications involve finding a Hamiltonian path with minimum cost. Some instances that belong to this category are transportation routing problem, scan c...
Li-Pei Wong, Malcolm Yoke-Hean Low, Chin Soon Chon...