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ICSI 2026: International Conference on Swarm Intelligence

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Submission Date:
2026-02-28
Notification Date:
2026-04-01
Conference Date:
2026-07-11
Location:
Chengdu, China
Years:
17
Viewed: 36267   Tracked: 6   Attend: 5

Conference Partner Index (CP-I)

51.8 / 100
Ranked #1,256 of 5,693 conferences · Top 23%

#112 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
78
Community attention (10%)
34
Public record completeness (15%)
35

Inputs used: Editions on record: 17 · Researchers following it here: 6 · Researchers who opened this page in the past 24 months: 7

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 45% - 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 2026-10-04

Call For Papers

ICSI 2026 (International Conference on Swarm Intelligence) is an academic conference held in Chengdu, China on 2026-07-11. The paper submission deadline is 2026-02-28. Acceptance notifications are sent on 2026-04-01.

The International Conference on Swarm Intelligence (ICSI) 2026 invites researchers, practitioners, and industry experts to submit their original research papers and abstracts. ICSI 2026 aims to provide a platform for discussing the latest advancements in swarm intelligence, evolutionary computing, and related fields. Topic Areas Theories Swarm intelligence optimization theories Swarm computing Swarm emulation Natural computing Evolutionary computing Social evolution Cooperative theories Optimization theories Immune system theory Multi-agent system theories Reinforcement learning Swarm Robotics Evolutionary learning Collective intelligence Social intelligence Algorithms PSO algorithms ACO algorithms Fireworks algorithms Fish school search Bees algorithms ABC algorithms BSO algorithms Cultural algorithms Social computing Genetic algorithms Differential evolution Memetic algorithms Bioinspired algorithm Cuckoo / Firefly / Bat / Pelican Algorithms Biogeography-based Optimization Evolutionary strategy Evolutionary Learning systems GPU Computing Other swarm-based algorithms Realizations Swarm models Swarm cooperation Multi-agent systems AIS system Evolv. intelligent agents Analytic models of emergent behaviors Evolving fuzzy system Evolving neural nets Artificial life Bio-inspired computing models Socio-inspired computing models Routing and scheduling MOO, Many-OO Constrained OP Dynamic OP Combinatorial OP GPU Parallelization Other swarm-based systems Emerging Areas Large language models Swarm intelligence & evolutionary computing for large language model optimization Large language model based evolution computation Large language model based swarm intelligence Large language model based multi-agent systems Molecular computing DNA computing Quantum computing Granularity computing Deep computing Pervasive computing Cloud computing Metaverse Applications UAV control Swarm cooperation Automatic control Intelligent transport Information security Machine learning Image Processing Image Recognition Neural Network Robotic manipulator Cognitive robots Virtual swarms AR+VR techniques Bioinformatics Telecommunications Underwater vehicles Automatic driving Games Internet+ techniques Data mining Other SI applications
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