Advances in Swarm Intelligence 16th International Conference on Swarm Intelligence, ICSI 2025, Yokohama, Japan, July 11-15, 2025, Proceedings, Part I

This two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025.
The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning.

Zusammenfassung

This two-volume set LNCS 16011 and 16012 constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Swarm Intelligence, ICSI 2025, held in Yokohama, Japan, during July 11-15, 2025.
The 54 revised full papers presented in these proceedings were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Particle Swarm Optimization; Swarm Optimization Algorithms; Swarm of Large Language Models; Agent and Multi-agents; Vehicle Routing; Multiobjective Optimization; Approaches for Classification and Feature Selection; Prediction and Detection Algorithms; Machine Learning.

Produktdetails

• Mitarbeit: Ying Tan (Herausgeber), Yuhui Shi (Herausgeber), Shi (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 16.09.2025
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
• EAN: 9789819509812
• ISBN: 978-981-9509-81-2
• Anzahl Seiten: 369
• Illustration: XXI, 369 p. 119 illus., 95 illus. in color.
• Abmessung (Verpackung): 15.5 x 2.1 x 23.5 cm
• Gewicht (Verpackung): 593 g
• Serie: Lecture Notes in Computer Science
• Themen: ABC, fwa, Künstliche Intelligenz, Computerhardware, machine learning, Maschinelles Lernen, Mathematik für Informatiker, Ga, Theory of Computation, Mathematics of Computing, Computational Intelligence, Computer Engineering and Networks, swarm intelligence, multi-agent systems, multi-objective optimization, swarm robotics, PSO, swarm intelligence optimization algorithm, planning and routing, ACO, hybrid optimization algorithms