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  Search result  Your search for [subject]Genetic algorithms returned 41 records.  
 
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  Electronic Resource Application of genetic approach for advanced planning in multi-factory environment.

by Y.K. Tse; Amsterdam: Elsevier B.V, 2009.

Subject: Social sciences; Production scheduling; Genetic algorithms; Genetic parameters.

 
     
Relevance: 17.34%
 
     
  Thesis Parallel genetic algorithms with simulated annealing applied to school timetabling.

by Calaor, Adora Espina.; 2001.

Subject: Combinatorial optimization; Genetic algorithms; Simulated annealing (Mathematics); Genetic programming (Computer science); Combinational analysis.

 
     
Relevance: 17.10%
 
     
  Electronic Resource Technical trading in the Santa Fe Institute Artificial Stock Market revisited.

by Ehrentreich, Norman; Amsterdam: Elsevier B.V, 2006.

Subject: Agent-based simulations; Technical trading; Genetic algorithms; Classifier systems; Genetic drift; Social sciences.

 
     
Relevance: 17.10%
 
     
  Book Practical handbook of genetic algorithms.

Boca Raton: CRC Press, 1995.

Subject: Genetic algorithms.

 
     
Relevance: 15.06%
 
     
  Book Practical genetic algorithms.

by Haupt, Randy L.; Hoboken, N.J.: Wiley-Interscience, 2004.

Subject: Genetic algorithms.

 
     
Relevance: 15.06%
 
     
  Thesis Enhancing global search of genetic algorithms using diversity oriented operators : applied for the traveling salesman problem.

by Tesfaldet, Bereket T.; 1999.

Subject: Genetic algorithms.

 
     
Relevance: 15.06%
 
     
  Book Genetic algorithms.

by Buckles, Bill P., 1942-; Los Alamitos, Calif: IEEE Computer Society Press, 1992.

Subject: Genetic algorithms.

 
     
Relevance: 15.06%
 
     
  Book Practical handbook of genetic algorithms.

Boca Raton: CRC Press, 1995.

Subject: Genetic algorithms.

 
     
Relevance: 15.06%
 
     
  Book Genetic algorithms in search, optimization, and machine learning.

by Goldberg, David E. (David Edward), 1953-; Reading, Mass.: Addison-Wesley, 1989.

Subject: Genetic algorithms; Machine learning.

 
     
Relevance: 14.72%
 
     
  Thesis Timetabling highly constrained system via genetic algorithms.

by Lee, Ho Sung C.; 2000.

Subject: Genetic algorithms; Time perspective.

 
     
Relevance: 14.72%
 
     
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