Differential evolution. In search of solutions.
type: Item
instance of: scholarly article
title: Differential evolution. In search of solutions.
zbMATH Open document ID: 1136.90001
DOI: 10.1007/978-0-387-36896-2
author: Vitaliy Feoktistov
published in: Springer Optimization and Its Applications
publication date: 2006-11-16T00:00:00Z
review text: In the field of optimizations methods, differential optimization represents a recent approach, the algorithm behind it becoming a powerful tool for global optimization. Derived from the population-based techniques, the differential evolution is mostly characterised by the differential mutation. Many of the classical population-based metaheuristics properties, such as: global methods of nonlinear continuous optimization, approximate methods of combinatorial optimization, stochastic optimization etc. are common to the differential evolution. The book deals with the neoteric differential evolution, strategies of search, transversal differential evolution, energetic selection principle, hybridization of differential evolution and applications. The writing style is very dynamic and nice, inviting the interested reader (students, teachers, engineers etc.) to learn more about this exciting subject.
reviewed by: Florin Gorunescu
Mathematics Subject Classification ID: 90-02
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 68W01
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5073352
describes a project that uses: L-BFGS
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-0-387-36896-2
OpenAlex ID: W2240235720
description: scientific article; zbMATH DE number 5073352