9th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
Welcome to the official website of the 2025 9th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2025). The conference, co-organized by India International Congress on Computational Intelligence (IICCI, www.iicci.in) and Tokyo Metropolitan University, will be held in Tokyo, Japan during April 26-28, 2025.
The main objective of ISMSI 2025 is to present the latest research and results of scientists related to Intelligent Systems, Metaheuristics & Swarm Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields.
Topics of interest for submission include, but are not limited to:
Approximate and exact algorithms for Combinatorial and Continuous Optimisation
Cuckoo Search
Wolf Search Algorithm
Elephant Search Algorithm
Monarch Butterfly Algorithm
Particle swarm optimisation
Artificial bees and fireflies algorithm
Bacterial foraging optimisation
Ant colony optimisation
Swarm Intelligence
Swarm robotics
Review and comparative studies of swarm intelligence techniques
Theory and practice of swarm intelligence methods in different domains
Real-world problem solving using swarm intelligence method
Neural networks
Evolutionary Dynamics
Memetic Theory
Artificial Cultures in multi-agent systems, webbots and robots
Landscape Analysis
Methodological aspects of experimental computing
Search based Software Engineering
Artificial immune systems
Glow worm swarm optimisation
Genetic Programming
Constraint Optimisation
Real-world applications
Machine learning and Data Mining
Hybrid (Parallel) Metaheuristics such as Tabu Search, Path relinking, Scatter Search, GRASP methods, Iterated Local Search, Simulated annealing, Variable Neighborhood Search, Evolutionary Algorithms, Learning Classifier Systems, Memetic Algorithms, Cultural Algorithms, etc.
