SECTION 1: FUNDAMENTALS AND ADVANCEMENTS ON SWARM INTELLIGENCE 1. Swarm Intelligence Based Algorithm for Feature Selection in High-Dimensional DatasetsNandini Nayar, Sachin Ahuja, and Shaily Jain2. Swarm Intelligence for Data Mining Razieh Sheikhpour3. Leveraging Center-Based Sampling Theory for Enhancing Particle Swarm Classification of Textual DataAnwar Ali Yahya4. Reinforcement Learning for Out-of-the-box Parameter Control for Evolutionary and Swarm-based AlgorithmMarcelo Gomes Pereira de LacerdaSECTION 2: APPLICATIONS5. Recognition of Emotions in the Elderly Through Audio Signal Analysis Flávio S. Fonseca, Arianne S. Torcate, Maíra A. Santana, Juliana C. Gomes, Nicole Charron, José Daniel S. do Carmo, Giselle M. M. Moreno and Wellington P. dos Santos6. Recognition of Emotions in the Elderly through Facial Expressions: A Machine Learning-Based ApproachArianne Sarmento Torcate, Maíra Araújo Santana, Juliana Carneiro Gomes, Ingrid Bruno Nunes, Flávio Secco Fonseca, Gisele M. M. Moreno, and Wellington Pinheiro dos Santos7. Identification of Emotion Parameters in Music to Modulate Human Affective StatesMaíra A. Santana, Ingrid B. Nunes, Andressa L. Q. Ribeiro, Flávio S. Fonseca, Arianne S. Torcate, Amanda Suarez, Vanessa Marques, Nathália Córdula, Juliana C. Gomes, Giselle M. M. Moreno, and Wellington P. Santos8. Clinical Decision Support in the Care of Symptomatic Patients with COVID-19: An Approach Based on Machine Learning and Swarm IntelligenceIngrid Bruno Nunes, Pedro Vitor Soares Gomes de Lima, Andressa Laysa Queiroz Ribeiro, Leandro Ferreira Frade Soares, Maria Eduarda da Silva Santana, Maria Luysa Teles Barcelar, Juliana Carneiro Gomes, Clarisse Lins de Lima, Maíra Araújo de Santana, Rodrigo Gomes de Souza, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, and Wellington Pinheiro dos Santos9. The Sound of the Mind: Detection of Common Mental Disorders Using Vocal Acoustic Analysis and Machine LearningCaroline Wanderley Espinola, Juliana Carneiro Gomes, Jessiane Mônica Silva Pereira and Wellington P. Santos

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages ​​such as Python, Java and MATLAB®. Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications. The book is organized into two parts. The first part provides an introduction to swarming algorithms and hybrid techniques. In the second part, real world applications of swarm intelligencearepresentedto illustrate how swarm algorithms can be used in applications of optimization and pattern recognition, reviewing the principal methods and methodologies in swarm intelligence.

OCLC-licensed vendor bibliographic record.