Document Detail


Optical design with the aid of a genetic algorithm.
MedLine Citation:
PMID:  8924643     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Natural evolution is widely accepted as being the process underlying the design and optimization of the sensory functions of biological organisms. Using a genetic algorithm, this process is extended to the automatic optimization and design of optical systems, e.g. as used in astronomical telescopes. The results of this feasibility study indicate that various types of aberrations can be corrected quickly and simultaneously, even on small computers.
Authors:
D C van Leijenhorst; C B Lucasius; J M Thijssen
Related Documents :
22163533 - Resolution enhancement in surface plasmon resonance sensor based on waveguide coupled m...
17487083 - A comparative study of optimization techniques for tuning a finite element model of the...
25273793 - Note: on the generation of sub-300 kev flash-x-rays using rod-pinch diode: an experimen...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Bio Systems     Volume:  37     ISSN:  0303-2647     ISO Abbreviation:  BioSystems     Publication Date:  1996  
Date Detail:
Created Date:  1996-10-25     Completed Date:  1996-10-25     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  177-87     Citation Subset:  IM; S    
Affiliation:
Department of Theoretical Computer Science, University of Nijmegen, The Netherlands.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Astronomy / instrumentation
Equipment Design
Evolution
Models, Genetic
Optics and Photonics / instrumentation*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Preferential partner selection in an evolutionary study of Prisoner's Dilemma.
Next Document:  Evolutionary stability in the n-person iterated prisoner's dilemma.