Comparative analysis of the method of assignment by classes in GAVaPS

Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped according to their fitness. The purpose is to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Lanzarini, Laura Cristina, Sanz, Cecilia Verónica, Naiouf, Marcelo, Romero, Fernando
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2000
Materias:	Ciencias Informáticas Algorithms Heuristic methods evolutive computation; genetic algorithms; genetic algorithms with varying population size
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9389 http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/Comparative.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

Ejemplares similares

A phenotypic analysis of three population-based metaheuristics
por: Orellana, Alina, et al.
Publicado: (2008)

Análisis comparativo del método de asignación por clases en GAVaPS
por: Lanzarini, Laura Cristina, et al.
Publicado: (2001)

Metaheurísticas secuenciales y distribuidas: adaptación de parámetros y entornos de ejecución
por: Salto, Carolina, et al.
Publicado: (2013)

Contrasting main selection methods in genetic algorithms
por: Alfonso, Hugo, et al.
Publicado: (1998)

MCPC: another approach to crossover in genetic algorithms
por: Esquivel, Susana Cecilia, et al.
Publicado: (1995)

Two new feature selection algorithms with rough sets theory
por: Caballero, Yailé, et al.
Publicado: (2006)

A GRASP algorithm to solve the problem of dependent tasks scheduling in different machines
por: Tupia Anticona, Manuel
Publicado: (2006)

PhD. Subject: Strategies to design life-long learning heuristic based algorithms
por: Rojas Morales, Nicolás
Publicado: (2014)

Pattern discovery and model construction: an evolutionary learning and data mining approach
por: Zhou, Harry
Publicado: (2006)

Algorithms in bioinformatics : a practical introduction /
por: Sung, Wing-Kin
Publicado: (2010)

Heurística para TSP-2d euclideo y simétrico basadas en la triangulación de Delaunay y sus subgrafos
por: Krasnogor, Natalio
Publicado: (1997)

A study of genotype and phenotype distributions in hybrid evolutionary algorithms to solve the flow shop scheduling problem
por: Minetti, Gabriela F., et al.
Publicado: (2002)

Greedy seeding procedure for GAs solving a strip packing problem
por: Salto, Carolina, et al.
Publicado: (2007)

A comparison of different recombination operators for the 2-dimensional strip packing problem
por: Salto, Carolina
Publicado: (2006)

Crowding under diverse distance criteria for niche formation in multimodal optimization
por: Alfonso, Hugo, et al.
Publicado: (2001)

A Genetic Algorithm Based Heuristic for the Design of pCycle Networks
por: Delgadillo, Remberto Emanuel, et al.
Publicado: (2015)

Metaheurísticas avanzadas aplicadas a problemas de optimización
por: Villagra, Silvia, et al.
Publicado: (2015)

Genetic algorithms in search, optimization, and machine learning /
por: Goldberg, David E. (David Edward), 1953-
Publicado: (1989)

Genetic algorithms in search, optimization, and machine learning /
por: Goldberg, David E. (David Edward), 1953-
Publicado: (1989)

A study of alternative selection mechanisms for multiple cossover per couple in genetic algorithms
por: Esquivel, Susana Cecilia, et al.
Publicado: (1998)

Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field
por: Seonah, K., et al.

Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field
por: Ferraro, Marta Beatriz, et al.
Publicado: (2009)

Multi-PBil: an estimation distribution algorithm applied to multimodal optimization problems
por: Barbosa Filho, Rubens
Publicado: (2006)

A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
por: Bazterra, V.E., et al.

A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
por: Bazterra, Víctor Eduardo, et al.
Publicado: (2005)

Contrasting termination criteria for genetic algorithms
por: Bermúdez, Carlos, et al.
Publicado: (1999)

A new strategy for adapting the mutation probability in genetic algorithms
por: Stark, Natalia, et al.
Publicado: (2012)

Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações
por: Coelho, Leandro dos Santos, et al.
Publicado: (1997)

Mejoras a un algoritmo gen�etico simple, aplicando conceptos de computaci�on evolutiva
Publicado: (2004)

Algorithms for next-generation sequencing /
por: Sung, Wing-Kin
Publicado: (2017)

Transition from exo to endo Cu absorption in CuSin clusters: A genetic algorithms density functional theory study
por: Oña, O.B., et al.

Transition from exo to endo Cu absorption in CuSin clusters: A genetic algorithms density functional theory study
por: Oña, Ofelia Beatriz, et al.
Publicado: (2011)

Improving evolutionary algorithms performance by extending incest prevention
por: Alfonso, Hugo, et al.
Publicado: (1998)

BRKGA para el problema de ordenamiento secuencial
por: Vega, Carina
Publicado: (2014)

BRKGA para el problema de ordenamiento secuencial
por: Vega, Carina
Publicado: (2014)

On improved deformable template matching for polygonal objects
por: Luo, Jianshu, et al.
Publicado: (2004)

A criteria to select genetic operators for solving CSP
por: Riff Rojas, María Cristina
Publicado: (2000)

Adaptación dinámica de parámetros en MCMP-SRI para el problema de máquina única de <i>weighted tardiness</i>
por: San Pedro, María Eugenia de, et al.
Publicado: (2006)

Computación evolutiva para el problema de cutting
por: Beraudo, Vanina, et al.
Publicado: (2004)

Técnicas de inteligencia artificial aplicadas al modelado termodinámico
por: Pérez Otero, Nilda, et al.
Publicado: (2015)