Evolutionary Artificial Intelligence

Proceedings of ICEAI 2025
Erscheinungsjahr 2026
ISBN: 978-3-032-32422-1
Verlag: Springer

Buch, Englisch, 606 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1084 g

Reihe: Algorithms for Intelligent Systems

This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2025) held in Malaysia during December 19–20, 2025. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.

Zielgruppe

Research

Autoren/Hrsg.

Asirvatham, David

Ntalianis, Klimis

Piramuthu, Selwyn

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Deep Neural Network-Based Multi-Attention Strategy on the Indian Airline Information.- Application of a Multivariate Regression Model with a Sliding Window for Stock Market Analysis.- From Innovation to Acceptance: Sentiment and Topic Modeling Analysis of Public Sentiments in Artificial Intelligence Adoption.- GPU Usage Prediction in Deep Learning Models.- Legal Named Entity Recognition (L-NER) for Case Document Analysis.- A Hybrid DNN-SVM Approach with PSO for Accurate CQI Prediction in 5G Networks For Smart City.

Über Autor(innen)

Dr. David Asirvatham is currently the Executive Dean for the Faculty of Build Environment, Engineering, Technology and Design, Taylor's University, Malaysia. He has held numerous posts such the Associate Dean for Faculty of Information Technology (Multimedia University), Project Manager for the Multimedia and IT Infrastructure Development for a university campus, Secretary for the Artificial Intelligence Society Malaysia and Country Representative for the Asia E-learning Network (AEN). Dr. David completed his Ph.D. from Multimedia University, M.Sc. (Digital System) from Brunel University (U.K.), and B.Sc. (Hons) Ed. and Post-grad Diploma in Computer Science from University of Malaya. He has been lecturing in the area of ICT for the past 20 years. He has been responsible for the development and implementation of various ICT projects such as E-learning Systems, Smart Card Systems, Interactive Voice Response Systems, E-Procurement Systems and Document Management System. At International level, he worked on various ICT Projects and Workshop in South Africa, Sudan, Iran, Ghana, Vietnam, Maldives, Bangladesh, UAE, India and Brunei.

Dr. Klimis Ntalianis is a full professor at the University of West Attica, Athens, GREECE. He has worked as Senior Researcher in multi-million research and development projects, funded by the General Secretariat of Research and Technology of Greece (GSRT), the Research Promotion Foundation of Cyprus (RPF), the Information Society S.A. of Greece and the European Union. He is also serving as a Senior Project Proposal Evaluator for GSRT, RPF, the European Union, the Natural Sciences and Engineering Research Council of Canada and the National Science Center of Poland. In parallel he is a member of several master theses and Phd evaluation committees in Greece, Cyprus, Germany and India. He is also serving as promotion evaluator for Saudi Arabia and academic staff. He has served as general chair in several conferences (IEEE etc.). Dr. Ntalianis has published more than 160 scientific papers in international journals, books and conferences. His main research interests include social computing, multimedia analysis and information security.

Dr. Selwyn Piramuthu has been at the University of Florida since Fall 1991. He taught in the Operations and Information Management department at the Wharton School of the University of Pennsylvania from 1998 to 2001. He has also held teaching and/or research visiting appointments at a few other institutions including the Aarhus School of Business in Denmark, Copenhagen Business School in Denmark, ESCP-Europe (Ecole Supérieure de Commerce de Paris) in Paris, IRIDIA (Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle) at the Université Libre de Bruxelles in Belgium, Interdisciplinary Center for Security, Reliability and Trust (SnT) at the Université du Luxembourg in Luxembourg, INFRES at TELECOM ParisTech in Paris, RFID European Lab in Paris, Supply Chain Management at Technische Universität München in Munich, Lehrstuhl für Informations- und Technologie- Management at Universität des Saarlandes in Saarbrücken, and Accounting and Information Systems at the University of Canterbury in Christchurch New Zealand. His research and teaching interests include artificial intelligence, cryptography, database management, data mining/machine learning, and simulation including their applications in computer integrated manufacturing, e-commerce, financial credit scoring, healthcare, RFID, supply chain management, and work flow management.