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Research article summary:
The merits of a parallel genetic algorithm in solving hard optimization problems.
Abstract Extract:
A parallel genetic algorithm for optimization is outlined, and its performance on both mathematical and biomechanical optimization problems is compared to a sequential quadratic programming algorithm, a downhill simplex algorithm and a simulated ... (Full abstract text below) Published 2003Feb
in Journal: J Biomech Eng
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. J Biomech Eng.
2003 Feb;125(1):141-6
The merits of a parallel genetic algorithm in solving hard optimization problems.
van Soest AJ, Casius LJ
Faculty of Human Movement Sciences, Institute for Fundamental and Clinical Human Movement Sciences, Free University Amsterdam, van der Boechorststraat 9, NL 1081 Amsterdam, The Netherlands. a_j_van_soest@fbw.vu.nl
A parallel genetic algorithm for optimization is outlined, and its performance on both mathematical and biomechanical optimization problems is compared to a sequential quadratic programming algorithm, a downhill simplex algorithm and a simulated annealing algorithm. When high-dimensional non-smooth or discontinuous problems with numerous local optima are considered, only the simulated annealing and the genetic algorithm, which are both characterized by a weak search heuristic, are successful in finding the optimal region in parameter space. The key advantage of the genetic algorithm is that it can easily be parallelized at negligible overhead.
PMID : 12661208 [PubMed - Indexed for MEDLINE]
This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.
Full Author Information
| First Name | LastName | Initials |
| A J Knoek | van Soest | AJ |
| L J R Richard | Casius | LJ |
Affiliation: Faculty of Human Movement Sciences, Institute for Fundamental and Clinical Human Movement Sciences, Free University Amsterdam, van der Boechorststraat 9, NL 1081 Amsterdam, The Netherlands. a_j_van_soest@fbw.vu.nl
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Category links from this article:- Algorithms
- Bicycling - physiology
- Computer Simulation
- Humans
- Models, Biological
- Movement - physiology
- Muscle, Skeletal - physiology
- Psychomotor Performance - physiology
- Quality Control
- Reproducibility of Results
- Sensitivity and Specificity
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