Work

Overview of the New Perspectives on Optimization Algorithms Research

Year: 2025

Type: book-chapter

Abstract: This chapter presents a brief overview of the most recent optimization algorithms. The chapter starts by showing the difference between classical methods and modern methods. And then, some special types of problems solved by optimization algorithms are presented, including some open problems. After that, the initial modern optimization algorithms are listed; the recent optimization algorithms are shown with their main features. This section starts with the algorithms inspired by quantum mechanics and their solutions to intelligent systems. Also, this section shows other modern approaches merging intelligent techniques, neuroscience, data science, and machine learning.

Source: IntechOpen eBooks

DOI: 10.5772/intechopen.1010958

Authors: Germano Lambert-Torres, Carlos Henrique Valério de Moraes, Gilberto Capistrano Cunha de Andrade

Institution: Universidade Federal de Itajubá

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Agência Nacional de Energia Elétrica

OpenAlex ID: W4411030096

FWCI:

Cites: 46

Cited by:

Related to: 10