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Global optimization based on local searches
4OR, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Locatelli, Marco, Schoen, Fabio
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Modularity optimization by Global-Local Search
2016 International Joint Conference on Neural Networks (IJCNN), 2016Modularity is widely used in community detection in network. Despite its great success, one drawback is that its optimization is an NP-complete problem. To this end, this paper designs a new optimization method termed Global-Local-Search (Glo-Loc-Search for short).
null Xun Wang +2 more
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GLODS: Global and Local Optimization using Direct Search
Journal of Global Optimization, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Custódio, A. L., Madeira, JFA
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Spherical Local Search for Global Optimization
2018This paper proposed spherical local search (SLS) for solving unconstrained optimization problems in three dimensions. The algorithm begins with a randomly chosen point in the search domain. Then, spherical trust region around this point is defined by the radius of SLS; where any point in this region is feasible.
M. A. El-Shorbagy, Aboul Ella Hassanien
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Human Group Optimizer with Local Search
2011Human Group Optimization (HGO) algorithm, derived from the previously proposed seeker optimization algorithm (SOA), is a novel swarm intelligence algorithm by simulating human behaviors, especially human searching/foraging behaviors. In this paper, a canonical HGO with local search (L-HGO) is proposed.
Chaohua Dai +4 more
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Particle swarm optimization using adaptive local search
2009 International Conference on Future BioMedical Information Engineering (FBIE), 2009Particle swarm optimization (PSO) is a powerful stochastic evolutionary algorithm that is used to find the global optimum solution in search space. However, PSO often easily fall into local minima because the particles could quickly converge to a position by the attraction of the best particles.
null Jun Tang, null Xiaojuan Zhao
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Global Search versus Local Search in Hyperparameter Optimization
2022 IEEE Congress on Evolutionary Computation (CEC), 2022Yoshihiko Ozaki +2 more
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Multiple Parallel Local Searches in Global Optimization
2000The unconstrained global programming problem is addressed using an efficient multi-start algorithm, in which parallel local searches contribute towards a Bayesian global stopping criterion. The stopping criterion, denoted the unified Bayesian global stopping criterion, is based on the mild assumption that the probability of convergence to the global
Hermanus P. J. Bolton +2 more
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Local search in combinatorial optimization
1995Y. Crama, A. W. J. Kolen, E. J. Pesch
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