PANMIN: sequential and parallel global optimization procedures with a variety of options for the local search strategy
Φόρτωση...
Ημερομηνία
Συγγραφείς
Theos, F. V.
Lagaris, I. E.
Papageorgiou, D. G.
Τίτλος Εφημερίδας
Περιοδικό ISSN
Τίτλος τόμου
Εκδότης
Elsevier
Περίληψη
Τύπος
Είδος δημοσίευσης σε συνέδριο
Είδος περιοδικού
peer reviewed
Είδος εκπαιδευτικού υλικού
Όνομα συνεδρίου
Όνομα περιοδικού
Computer Physics Communications
Όνομα βιβλίου
Σειρά βιβλίου
Έκδοση βιβλίου
Συμπληρωματικός/δευτερεύων τίτλος
Περιγραφή
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.
Περιγραφή
Λέξεις-κλειδιά
global and local optimization, modeling, curve-fitting neural network training
Θεματική κατηγορία
Παραπομπή
Σύνδεσμος
<Go to ISI>://000221031000004
http://ac.els-cdn.com/S0010465504000773/1-s2.0-S0010465504000773-main.pdf?_tid=53f1e869e80c62dae9ce70f8fd49ec93&acdnat=1339753675_d40de843ff11ed7cbe0bbe245644b7d8
http://ac.els-cdn.com/S0010465504000773/1-s2.0-S0010465504000773-main.pdf?_tid=53f1e869e80c62dae9ce70f8fd49ec93&acdnat=1339753675_d40de843ff11ed7cbe0bbe245644b7d8
Γλώσσα
en
Εκδίδον τμήμα/τομέας
Όνομα επιβλέποντος
Εξεταστική επιτροπή
Γενική Περιγραφή / Σχόλια
Ίδρυμα και Σχολή/Τμήμα του υποβάλλοντος
Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών