Name: Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (Advances in Metaheuristics) (en Inglés)
SKU: 64009564
Price: 62.33 USD
Availability: InStock
Author: Mirjalili Seyedali
ISBN: 9781032070926

portada Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (Advances in Metaheuristics) (en Inglés)

Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (Advances in Metaheuristics) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Mirjalili Seyedali

Idioma

Inglés

N° páginas

332

Encuadernación

Tapa Blanda

ISBN13

9781032070926

N° edición

Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (Advances in Metaheuristics) (en Inglés)

Mirjalili Seyedali (Autor) · Crc Press · Tapa Blanda

Libro Nuevo Importado

Envío: 23 a 30 días háb.

$ 113.32$ 62.33

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 12 unidades

$ 62.33

Llega entre el 01 Oct y el 15 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (Advances in Metaheuristics) (en Inglés)"

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters.Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges.Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.