Crowding under diverse distance criteria for niche formation in multimodal optimization

Mostrar todas las versiones(2)

Niche formation allows evolutionary algorithms to be used when the location and maintenance of multiple solutions appertaining to diverse areas of the phenotypic space is required. Consequently the application field can be extended to multiobjective optimization, simulation of complex systems and mu...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Alfonso, Hugo, Gallard, Raúl Hector, Fernandez, Natalia
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2001
Materias:	Ciencias Informáticas Evolución Algorithms Optimization Genetic algorithms genetic diversity genetic drift niche formation crowding
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23521
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

Ejemplares similares

Crowding under diverse distance criteria for niche formation in multimodal optimization
por: Fernandez, Natalia, et al.
Publicado: (2000)

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

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

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

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

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

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

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)

About speedup improvement of classical genetic algorithms using cuda environment
por: Mroginski, Javier Luis, et al.
Publicado: (2023)

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)

An evolutionary algorithm to track changes of optimum value locations in dynamic environments
por: Aragón, Victoria S., et al.
Publicado: (2004)

Organizador de aulas mediante el uso de algoritmos genéticos
por: Garofolo Santucho, Hernan Daniel
Publicado: (2023)

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

Incest prevention and multirecombination in evolutionary algorithms to deal with the flow shop scheduling problem
por: Bain, María Elena, et al.
Publicado: (2000)

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

Comparative analysis of the method of assignment by classes in GAVaPS
por: Lanzarini, Laura Cristina, et al.
Publicado: (2000)

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

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

Self-adaptation of parameters for MCPC in genetic algorithms
por: Esquivel, Susana Cecilia, et al.
Publicado: (1998)

Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
por: Carballido, Jessica Andrea, et al.
Publicado: (2004)

A simple genetic algorithm for a minimal overlapping scheduling problem
por: Olivera, Alfredo, et al.
Publicado: (2004)

Crystal structure prediction from first principles: The crystal structures of glycine
por: Lund, A.M., et al.

Crystal structure prediction from first principles: The crystal structures of glycine
Publicado: (2015)

Global optimization of atomic cluster structures using parallel genetic algorithms
por: Oña, O., et al.

Global optimization of atomic cluster structures using parallel genetic algorithms
por: Oña, Ofelia Beatriz, et al.
Publicado: (2006)

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)

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

Transition from exo to endo Cu absorption in SinCu clusters: A genetic algorithms Density Functional Theory (DFT) study
por: Oña, O.B., et al.

Transition from exo to endo Cu absorption in SinCu clusters: A genetic algorithms Density Functional Theory (DFT) study
por: Oña, Ofelia Beatriz, et al.
Publicado: (2009)

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)

Influence of crossover operators in evolutionary scheduling under multirecombined schemes
por: San Pedro, María Eugenia de, et al.
Publicado: (2003)

Selección de centroides para algoritmos de clustering a través de técnicas metaheurísticas
por: Villagra, Andrea, et al.
Publicado: (2007)

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

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)