Conference Information

IEEE SIS 2023: IEEE Symposium on Swarm Intelligence

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Submission Date:
2023-08-15
Notification Date:
2023-09-15
Conference Date:
2023-12-05
Location:
Mexico City, Mexico
ICORE: C   Viewed: 16   Tracked: 0   Attend: 0

Call For Papers

IEEE SIS 2023 (IEEE Symposium on Swarm Intelligence) is a ICORE C conference held in Mexico City, Mexico on 2023-12-05. The paper submission deadline is 2023-08-15. Acceptance notifications are sent on 2023-09-15.

The 2023 IEEE Swarm Intelligence Symposium (SIS 2023) will be held in Mexico city, Mexico, in December 2023. It will be a part of the IEEE Symposium Series on Computational Intelligence 2023. The theme of the SIS 2023 is to provide a platform for researchers, academicians, students, engineers, and government officers from all over the world to share and exchange information in the swarm intelligence research areas ranging from algorithm development to real-world applications. Authors are invited to submit their original and unpublished work related to swarm intelligence, including research, theory, development, and applications. Topics All swarm inspired algorithms Ant Colony Optimization Artificial Immune System Artificial Life Bacterial Foraging Optimization Bees Algorithm Brain Storm Optimization Algorithms Culture Algorithm DNA Computing Fireworks Algorithms Particle Swarm Optimization Quantum Computing Social Evolution Stochastic Diffusion Search (SDS) Swarm Robotics Hybridization with swarm inspired algorithms Swarm Intelligence Algorithms for: Bound constrained, constrained optimization, large scale optimization problems, multi-objective optimization, multi-modal optimization, memetic algorithms, dynamic and uncertain environment, expensive optimization, many objectives, … Applications of Swarm Intelligence Algorithms in: Bioengineering, bioinformatics, business, control systems, data mining and data clustering, decision making, distributed computing, evolvable hardware, finance and economics, games graph partitioning, information security, machine learning, planning and operations in industrial systems, transportation systems, and other systems, power system, Scheduling and timetabling, supply-chain management, wireless sensor networks, and all other applications.
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