PANMIN: sequential and parallel global optimization procedures with a variety of options for the local search strategy
| dc.contributor.author | Theos, F. V. | en |
| dc.contributor.author | Lagaris, I. E. | en |
| dc.contributor.author | Papageorgiou, D. G. | en |
| dc.date.accessioned | 2015-11-24T17:37:10Z | |
| dc.date.available | 2015-11-24T17:37:10Z | |
| dc.identifier.issn | 0010-4655 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/14323 | |
| dc.rights | Default Licence | - |
| dc.subject | global and local optimization | en |
| dc.subject | modeling | en |
| dc.subject | curve-fitting neural network training | en |
| dc.title | PANMIN: sequential and parallel global optimization procedures with a variety of options for the local search strategy | en |
| heal.abstract | We present two sequential and one parallel global optimization codes, that belong to the stochastic class, and an interface routine that enables the use of the Merlin/MCL environment as a non-interactive local optimizer. This interface proved extremely important. since it provides flexibility, effectiveness and robustness to the local search task that is in turn employed by the global procedures. We demonstrate the use of the parallel code to a molecular conformation problem. Program summary Title of program: PANMIN Catalogue identifier: ADSU Program summary URL: http://cpc.cs.qub.ac.uk/summaries/ADSU Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland Computer for which the program is designed and others on which it has been tested: PANMIN is designed for UNIX machines. The parallel code runs on either shared memory architectures or on a distributed system. The code has been tested on a SUN Microsystems ENTERPRISE 450 with four CPUs, and on a 48-node cluster under Linux, with both the GNU g77 and the Portland group compilers. The parallel implementation is based on MPI and has been tested with LAM MPI and MPICH Installation. University of Ioannina, Greece Programming language used: Fortran-77 Memory required to execute with typical data: Approximately O(n(2)) words, where n is the number of variables No. of bits in a word: 64 No. of processors used: 1 or many Has the code been vectorised or parallelized?: Parallelized using MPI No. of bytes in distributed program, including test data, etc.: 147163 No. of lines in distributed program, including the test data, etc.: 14366 Distribution format: gzipped tar file. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | DOI 10.1016/j.cpc.2003.11.001 | - |
| heal.identifier.secondary | <Go to ISI>://000221031000004 | - |
| heal.identifier.secondary | http://ac.els-cdn.com/S0010465504000773/1-s2.0-S0010465504000773-main.pdf?_tid=53f1e869e80c62dae9ce70f8fd49ec93&acdnat=1339753675_d40de843ff11ed7cbe0bbe245644b7d8 | - |
| heal.journalName | Computer Physics Communications | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2004 | - |
| heal.publisher | Elsevier | en |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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