£119.99

Elsevier Stochastic Global Optimization Methods Book

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Description

This Elsevier publication provides an in-depth look at stochastic global optimization methods and their practical applications. The text covers a wide range of algorithms designed to address complex engineering challenges. Readers can explore the design and analysis of several key methods, including genetic algorithms, simulated annealing, differential evolution, and ant colony optimization. Beyond these, the book examines tabu search, particle swarm optimization, artificial bee colony optimization, and the cuckoo search algorithm. These tools are studied through their application to both base case and complex optimization problems. This resource is specifically tailored for professionals and students working within chemical, biochemical, pharmaceutical, and environmental engineering processes. By applying these diverse algorithms, users can better navigate the mathematical demands of modern industrial and environmental process optimization.

Key Features

Covers a diverse range of algorithms including genetic algorithm, simulated annealing, and differential evolution for optimization tasks.

Explores advanced methods such as ant colony optimization, tabu search, and particle swarm optimization.

Includes specialized techniques like artificial bee colony optimization and cuckoo search algorithm.

Provides analysis of algorithms applied to chemical, biochemical, pharmaceutical, and environmental engineering processes.

Addresses both base case and complex optimization problems to support practical engineering applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 November 2019
Listed Since
12 April 2019

Barcode

No barcode data available

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