A Population-based Approach for Hard Global Optimization Problems based on Dissimilarity Measures
- 22 June 2006
- journal article
- Published by Springer Nature in Mathematical Programming
- Vol. 110 (2) , 373-404
- https://doi.org/10.1007/s10107-006-0006-3
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- An experimental analysis of a population based approach for global optimizationComputational Optimization and Applications, 2007
- A Trust-Region Algorithm for Global OptimizationComputational Optimization and Applications, 2006
- Local optima smoothing for global optimizationOptimization Methods and Software, 2005
- An unbiased population-based search for the geometry optimization of Lennard-Jones clusters: 2 ≤N ≤ 372Journal of Computational Chemistry, 2005
- On the Multilevel Structure of Global Optimization ProblemsComputational Optimization and Applications, 2005
- A Function to Test Methods Applied to Global Minimization of Potential Energy of MoleculesNumerical Algorithms, 2004
- Unbiased Global Optimization of Lennard-Jones Clusters forUsing the Conformational Space Annealing MethodPhysical Review Letters, 2003
- Global cluster geometry optimization by a phenotype algorithm with Niches: Location of elusive minima, and low-order scaling with cluster sizeJournal of Computational Chemistry, 1999
- Conformational space annealing by parallel computations: Extensive conformational search of Met-enkephalin and of the 20-residue membrane-bound portion of melittinInternational Journal of Quantum Chemistry, 1999
- Structural optimization of Lennard-Jones clusters by a genetic algorithmChemical Physics Letters, 1996