A reassessment of the Snyman-Fatti dynamic search trajectory method for unconstrained global optimization

Journal of Global Optimization

Volumn 43, Issue 1, 2009, Pages 67-82

  Snyman, J A ^a   Kok, S ^a  

^a UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

Dynamic search trajectories; Global optimization algorithm; Lennard Jones clusters; Random multi start optimization

Indexed keywords

DIGITAL ARITHMETIC; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; TESTING; TRAJECTORIES;

ATOMIC AND MOLECULAR CLUSTERS; COMPETITIVE METHODS; CURRENT CODES; DE METHODS; DIFFERENTIAL EVOLUTIONS; DYNAMIC SEARCH TRAJECTORIES; DYNAMIC SEARCHES; GLOBAL MINIMIZATIONS; GLOBAL OPTIMIZATION ALGORITHM; LENNARD-JONES CLUSTERS; MINIMUM POTENTIAL ENERGIES; PARAMETER SETTINGS; RANDOM MULTI-START OPTIMIZATION; SF ALGORITHMS; STANDARD TESTS; TEST PROBLEMS; TEST RESULTS; TRAJECTORY METHODS; UNCONSTRAINED GLOBAL OPTIMIZATIONS;

GLOBAL OPTIMIZATION;

EID: 57349148196     PISSN: 09255001     EISSN: 15732916     Source Type: Journal    
DOI: 10.1007/s10898-008-9293-y     Document Type: Article

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