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IEEE SIS 2023: IEEE Symposium on Swarm Intelligence

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IEEE SIS
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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: 790   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

46.4 / 100
Ranked #2,486 of 5,687 conferences · Top 44%

#269 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Listed as ICORE C · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 60% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-30

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 Authors are invited to submit their original and unpublished work related to swarm intelligence, including research, theory, development, and applications.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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