BMPGA: A Bi-objective Multi-population Genetic Algorithm

Name: BMPGA: A Bi-objective Multi-population Genetic Algorithm
Brand: VDM Verlag Dr. Müller
SKU: 9783639105902
Price: 405.97 RON
Availability: InStock

with Applications to Multi-modal Optimization Problems

Autor: Jie Yao

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Editura: VDM Verlag Dr. Müller

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405.97 lei

This dissertation presents a novel Bi-objective§Multi-population Genetic Algorithm (BMPGA) for§multi...

Informații despre carte

Autor

Jie Yao

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

212

EAN

9783639105902

Enbook ID

06819553

Editura

VDM Verlag Dr. Müller

Greutate

332

Dimensiuni

150 x 220 x 13

Descriere completă

This dissertation presents a novel Bi-objective§Multi-population Genetic Algorithm (BMPGA) for§multimodal optimization problems. BMPGA is§distinguished by its use of two separate but§complementary fitness objectives designed to enhance§the diversity of the overall population and§exploration of the search space. This is coupled with§a multi-population strategy and a clustering scheme,§both of which together focus selection pressure§within sub-populations, resulting in improved§exploitation of promising optimum areas as well as§effective identification and retention of potential§optima. §The practical value of BMPGA is demonstrated in§several applications including optimization of§benchmark multimodal functions and detection of§imagery ellipses. BMPGA is compared with widely used§algorithms and exhibits solid advantages over them.§BMPGA is also extended to the segmentation of§microscopic cells, which is a necessary first step of§many automated biomedical image processing §procedures.

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BMPGA: A Bi-objective Multi-population Genetic Algorithm

with Applications to Multi-modal Optimization Problems

Informații despre carte

Descriere completă

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