会议信息
ISMSI 2026: International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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截稿日期: |
2026-03-15 Extended |
通知日期: |
2026-04-15 |
会议日期: |
2026-04-24 |
会议地点: |
Cebu City, Philippines |
届数: |
10 |
浏览: 15927 关注: 5 参加: 3
征稿
Topics of interest for submission include, but are not limited to:
Algorithmic Intelligence in Optimisation, Control and Design
Approximate and Exact Algorithms for Combinatorial and Continuous Optimisation
Cuckoo Search
Harmony 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
Self-organisation, Self-Assembly, Self-Generation, Self-Healing of Artificial Systems
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.
Algorithmic Intelligence in Optimisation, Control and Design
Approximate and Exact Algorithms for Combinatorial and Continuous Optimisation
Cuckoo Search
Harmony 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
Self-organisation, Self-Assembly, Self-Generation, Self-Healing of Artificial Systems
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.
最后更新 Dunn Carl 在 2025-10-23
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