Generation of structured process models using genetic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1143, Issue , 1996, Pages 102-109

  Pohlheim, Hartmut ^a   Marenbaeh, Peter ^b  

^a DAIMLER AG   (Germany)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Biotechnology; Control systems; Genetic programming; Industrial application; Learning control; MATLAB; Modelling; Parameter optimization; Process models; SIMOLIN; SMOG; Structure optimization; Structured models; System identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOTECHNOLOGY; COMPUTER SYSTEMS PROGRAMMING; CONTROL SYSTEMS; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); INDUSTRIAL APPLICATIONS; MATLAB; MODELS; STRUCTURAL OPTIMIZATION;

LEARNING CONTROL; PARAMETER OPTIMIZATION; PROCESS MODEL; SIMOLIN; SMOG; STRUCTURE OPTIMIZATION; STRUCTURED MODEL;

GENETIC PROGRAMMING;

EID: 84958178001     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0032776     Document Type: Conference Paper

References (8)

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