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New aspects of the elastic net algorithm for cluster analysis
(SPRINGER LONDON LTD, 2011)
Clustering Search and Variable Mesh Algorithms for continuous optimization
(Elsevier B.V., 2015-02-01)
The hybridization of population-based meta-heuristics and local search strategies is an effective algorithmic proposal for solving complex continuous optimization problems. Such hybridization becomes much more effective ...
Modified genetic algorithms to model cluster structures in medium-size silicon clusters
(American Physical Society, 2004)
Genetic algorithms (GA) were used to investigate the stable isomers of silicon clusters. In order to find the cluster structures, a semiempirical energy function was used by the GA that were further optimized using ...
Combining genetic algorithm and simulated annealing: A molecular geometry optimization study
(1998-04-14)
We introduce a new hybrid approach to determine the ground state geometry of molecular systems. Firstly, we compared the ability of genetic algorithm (GA) and simulated annealing (SA) to find the lowest energy geometry of ...
Combining genetic algorithm and simulated annealing: A molecular geometry optimization study
(1998-04-14)
We introduce a new hybrid approach to determine the ground state geometry of molecular systems. Firstly, we compared the ability of genetic algorithm (GA) and simulated annealing (SA) to find the lowest energy geometry of ...
Evolving clusters in gene-expression data
(Elsevier Science IncNew YorkEUA, 2006)
Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing
Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
MILP-based clustering method for multi-objective optimization: Application to environmental problems
(Elsevier, 2013-09)
Multi-objective optimization (MOO) has recently emerged as a useful technique in environmental engineering. One major limitation of this approach is that its computational burden grows rapidly with the number of environmental ...
Modified genetic algorithms to model atomic cluster structures: CuSi clusters
(ELSEVIER, 2004-07-26)
This paper presents the results obtained using a genetic algorithm (GA) to search for stable structures of Cu-silicon clusters. In this work the GA uses a semiempirical energy function to find the best cluster structures, ...