Name: Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019 (en Inglés)
SKU: 57374144
Price: 95.37 USD
Availability: InStock
Author: Fidanova, Stefka

portada Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019 (en Inglés)

Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Fidanova, Stefka

Idioma

Inglés

N° páginas

199

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.1 cm

Peso

0.30 kg.

ISBN13

9783030588861

Categorías

Investigación operativa
Matemáticas aplicadas
Inteligencia artificial

Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019 (en Inglés)

Fidanova, Stefka (Autor) · Springer · Tapa Blanda

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Reseña del libro "Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization Wco 2019 (en Inglés)"

This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI.It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics andother domains can be formulated as optimization problems.