Self-tuning mechanism for genetic algorithms parameters, an application to data-object allocation in the web

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

Volumn 3046 LNCS, Issue PART 4, 2004, Pages 77-86

  Pérez, Joaquín ^a   Pazos, Rodolfo A ^a   Frausto, Juan ^b   Rodriguez, Guillermo ^c   Cruz, Laura ^d   Mora, Graciela ^d   Praire, Héctor ^d  

^a CENTRO NACIONAL DE INVESTIGACIÓN Y DESARROLLO TECNOLÓGICO   (Mexico)

^b SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

^c INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

^d INSTITUTO TECNOLÓGICO DE CIUDAD MADERO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMBINATORIAL OPTIMIZATION; GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION; PROBLEM SOLVING; QUALITY CONTROL; SOCIAL NETWORKING (ONLINE);

CONTROL PARAMETERS; DATA OBJECTS; MATHEMATICAL EXPRESSIONS; NEW MECHANISMS; PROBLEM DOMAIN; PROBLEM INSTANCES; SELF-TUNING MECHANISMS; SPECIFIC PROBLEMS;

PARAMETER ESTIMATION;

EID: 33646046375     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24768-5_9     Document Type: Article

References (8)

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8. Pérez, J., Pazos, R.A., Romero, D., Santaolaya, R., Rodrí guez, G., Sosa, V.: Adaptive and Scalable Allocation of Data-Objects in the Web. Lectures Notes in Computer Science, Vol. 2667. Springer-Verlag, Berlin Heidelberg New York (2003) 134-143