Difference between revisions of "ICSI 2017"
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|Camera ready=2017/04/30 | |Camera ready=2017/04/30 | ||
|Submitting link=https://www.easychair.org/conferences/?conf=icsi2017 | |Submitting link=https://www.easychair.org/conferences/?conf=icsi2017 | ||
+ | |has general chair=Ying Tan, Hideyuki Takagi | ||
+ | |has program chair=Yuhui Shi | ||
+ | |has tutorial chair=Milan Tuba, Andreas Janecek | ||
+ | |has Keynote speaker=Katsuki Fujisawa, Shigeru Obayashi | ||
+ | |Submitted papers=267 | ||
+ | |Accepted papers=133 | ||
+ | |has Proceedings Link=https://link.springer.com/content/pdf/10.1007%2F978-3-319-61824-1.pdf | ||
+ | |has Proceedings DOI=https://doi.org/10.1007/978-3-319-61824-1 | ||
+ | |has Proceedings Bibliography=https://link.springer.com/book/10.1007%2F978-3-319-61824-1 | ||
}} | }} | ||
The Eighth International Conference on Swarm Intelligence (ICSI’2017) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas. | The Eighth International Conference on Swarm Intelligence (ICSI’2017) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas. | ||
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==Topics== | ==Topics== | ||
− | + | '''Theories:''' | |
− | Swarm-based optimization techniques | + | * Swarm-based optimization techniques |
− | Swarm computing | + | * Swarm computing |
− | Stochastic diffusion search | + | * Stochastic diffusion search |
− | Swarm robotics | + | * Swarm robotics |
− | Artificial life | + | * Artificial life |
− | Bioinformatics | + | * Bioinformatics |
− | Cognitive science | + | * Cognitive science |
− | Social evolution | + | * Social evolution |
− | Optimization theories and methods | + | * Optimization theories and methods |
− | Immune system theory | + | * Immune system theory |
− | Evolutionary computation | + | * Evolutionary computation |
− | Grammatical evolution | + | * Grammatical evolution |
− | Natural computing theories | + | * Natural computing theories |
− | Simulation and emulation of nature | + | * Simulation and emulation of nature |
− | Collective/Social intelligence | + | * Collective/Social intelligence |
− | Social intelligence | + | * Social intelligence |
− | Social computing | + | * Social computing |
− | Therapeutic strategies | + | * Therapeutic strategies |
− | |||
− | PSO algorithms | + | '''Algorithms:''' |
− | ACO algorithms | + | * PSO algorithms |
− | FSS algorithms | + | * ACO algorithms |
− | Bees algorithms | + | * FSS algorithms |
− | ABC algorithms | + | * Bees algorithms |
− | Cultural/Social algorithms | + | * ABC algorithms |
− | Genetic algorithms | + | * Cultural/Social algorithms |
− | Differential evolution | + | * Genetic algorithms |
− | Fireworks algorithms | + | * Differential evolution |
− | Memetic algorithms | + | * Fireworks algorithms |
− | Bio-inspired algorithms | + | * Memetic algorithms |
− | Evolutionary programming | + | * Bio-inspired algorithms |
− | Evolutionary strategy | + | * Evolutionary programming |
− | Brain storm optimization algorithm | + | * Evolutionary strategy |
− | Grammatical evolution | + | * Brain storm optimization algorithm |
− | Evolutionary learning systems | + | * Grammatical evolution |
− | Parallelization of swarm-based algorithms | + | * Evolutionary learning systems |
− | Nature-inspired algorithms | + | * Parallelization of swarm-based algorithms |
− | Other swarm-based algorithms | + | * Nature-inspired algorithms |
+ | * Other swarm-based algorithms | ||
+ | '''Models:''' | ||
+ | * Computational swarm models | ||
+ | * Multi-agent based complex systems | ||
+ | * Artificial immune system | ||
+ | * Evolutionary intelligent agents | ||
+ | * Analytic models of emergent behaviors | ||
+ | * Evolving fuzzy system | ||
+ | * Evolving neural networks | ||
+ | * Bio-inspired computing models | ||
+ | * Socio-inspired computing models | ||
+ | * Routing and scheduling | ||
+ | * Multi-objective optimization | ||
+ | * Constrained environment | ||
+ | * Information system | ||
+ | * Combinatorial optimization models | ||
+ | * Function optimization | ||
+ | * Neural information system | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
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− | |||
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− | |||
+ | '''Emerging Areas:''' | ||
+ | * Molecular computing | ||
+ | * DNA computing | ||
+ | * Quantum computing | ||
+ | * Granularity computing | ||
− | Applications | + | '''Applications:''' |
− | Active learning | + | * Applications |
− | Deep learning | + | * Active learning |
− | Data mining | + | * Deep learning |
− | Big Data | + | * Data mining |
− | Online & Self-adaptation | + | * Big Data |
− | Automatic control | + | * Online & Self-adaptation |
− | Intelligent traffic | + | * Automatic control |
− | Computational Biology | + | * Intelligent traffic |
− | Web intelligence | + | * Computational Biology |
− | Intelligent energy systems and networks | + | * Web intelligence |
− | Information security | + | * Intelligent energy systems and networks |
− | Signal & Image processing | + | * Information security |
− | Pattern recognition | + | * Signal & Image processing |
− | Virtual reality | + | * Pattern recognition |
− | 2D or 3D virtual swarms | + | * Virtual reality |
− | Video surveillance | + | * 2D or 3D virtual swarms |
− | Telecommunications systems | + | * Video surveillance |
− | Socio-technical systems | + | * Telecommunications systems |
− | Cybernetics and self-organization | + | * Socio-technical systems |
− | Natural language processing | + | * Cybernetics and self-organization |
− | Other swarm intelligence related applications | + | * Natural language processing |
+ | * Other swarm intelligence related applications | ||
Latest revision as of 10:40, 11 June 2020
ICSI 2017 | |
---|---|
8th International Conference on Swarm Intelligence
| |
Event in series | ICSI |
Dates | 2017/07/27 (iCal) - 2017/08/01 |
Homepage: | http://www.ic-si.org/2017/ |
Submitting link: | https://www.easychair.org/conferences/?conf=icsi2017 |
Location | |
Location: | Fukuoka City, Japan |
Loading map... | |
Important dates | |
Tutorials: | 2017/01/01 |
Papers: | 2017/03/10 |
Submissions: | 2017/03/10 |
Notification: | 2017/03/31 |
Camera ready due: | 2017/04/30 |
Papers: | Submitted 267 / Accepted 133 (49.8 %) |
Committees | |
General chairs: | Ying Tan, Hideyuki Takagi |
PC chairs: | Yuhui Shi |
Seminars Chair: | Milan Tuba, Andreas Janecek |
Keynote speaker: | Katsuki Fujisawa, Shigeru Obayashi |
Table of Contents | |
Contents | |
,
The Eighth International Conference on Swarm Intelligence (ICSI’2017) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas.
Topics
Theories:
- Swarm-based optimization techniques
- Swarm computing
- Stochastic diffusion search
- Swarm robotics
- Artificial life
- Bioinformatics
- Cognitive science
- Social evolution
- Optimization theories and methods
- Immune system theory
- Evolutionary computation
- Grammatical evolution
- Natural computing theories
- Simulation and emulation of nature
- Collective/Social intelligence
- Social intelligence
- Social computing
- Therapeutic strategies
Algorithms:
- PSO algorithms
- ACO algorithms
- FSS algorithms
- Bees algorithms
- ABC algorithms
- Cultural/Social algorithms
- Genetic algorithms
- Differential evolution
- Fireworks algorithms
- Memetic algorithms
- Bio-inspired algorithms
- Evolutionary programming
- Evolutionary strategy
- Brain storm optimization algorithm
- Grammatical evolution
- Evolutionary learning systems
- Parallelization of swarm-based algorithms
- Nature-inspired algorithms
- Other swarm-based algorithms
Models:
- Computational swarm models
- Multi-agent based complex systems
- Artificial immune system
- Evolutionary intelligent agents
- Analytic models of emergent behaviors
- Evolving fuzzy system
- Evolving neural networks
- Bio-inspired computing models
- Socio-inspired computing models
- Routing and scheduling
- Multi-objective optimization
- Constrained environment
- Information system
- Combinatorial optimization models
- Function optimization
- Neural information system
Emerging Areas:
- Molecular computing
- DNA computing
- Quantum computing
- Granularity computing
Applications:
- Applications
- Active learning
- Deep learning
- Data mining
- Big Data
- Online & Self-adaptation
- Automatic control
- Intelligent traffic
- Computational Biology
- Web intelligence
- Intelligent energy systems and networks
- Information security
- Signal & Image processing
- Pattern recognition
- Virtual reality
- 2D or 3D virtual swarms
- Video surveillance
- Telecommunications systems
- Socio-technical systems
- Cybernetics and self-organization
- Natural language processing
- Other swarm intelligence related applications
Submissions
Prospective authors are invited to submit full-length papers (6-12 pages) to ICSI 2017 through the Online Paper Submission Systems, respectively, by the submission deadline. The submission of a paper implies that the paper is original and unpublished and will be presented by an author if accepted. Potential special session organizers are also invited to enlist five or more papers with cohesive topics to form special sessions.
All papers should be submitted electronically via Online Paper Submission Systems. The format of the initial submissions must be standard Springer LNCS style PDF. The files of the final accepted papers should be in either Word or Latex. Enquiries on paper submissions can be addressed to the secretariat at icsi2017@ic-si.org.
A complete paper should be submitted using the Springer LNCS template, which is blind-submission review-formatted template. The length should match that intended for final publication. Note that the ICSI 2017 reviewing is double blind, in that authors do not know the names of the reviewers of their papers, and reviewers do not know the names of the authors. Please read the Example Paper for detailed instructions on how to preserve anonymity. Avoid providing information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs) and in the supplemental material. Avoid providing links to websites that identify the authors.
All submitted papers will be refereed double-blindly by experts in the respective fields according to the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees’ comments and suggestions, before submitting the final camera-ready version.
Papers presented at ICSI 2017 will be published in Springer Lecture Notes in Computer Science (indexed by EI Compendex, ISI proceedings, ISTP, DBLP, etc.) and some high-quality papers will be selected for several SCI-indexed journals.
Important Dates
Special Session and Tutorial proposals: January 01, 2017
Paper submission: January 30, 2017, Feburary 20, 2017, March 10, 2017 (Final)
Notification of acceptance: March 31, 2017
Author registration: April 30, 2017
Camera-ready copy: April 30, 2017
Acronym | ICSI 2017 + |
Camera ready due | April 30, 2017 + |
End date | August 1, 2017 + |
Event in series | ICSI + |
Event type | Conference + |
Has Submitting link | https://www.easychair.org/conferences/?conf=icsi2017 + |
Has coordinates | 33° 35' 2", 130° 22' 47"Latitude: 33.583938888889 Longitude: 130.37973055556 + |
Has location city | Fukuoka City + |
Has location country | Category:Japan + |
Homepage | http://www.ic-si.org/2017/ + |
IsA | Event + |
Notification | March 31, 2017 + |
Paper deadline | March 10, 2017 + |
Start date | July 27, 2017 + |
Submission deadline | March 10, 2017 + |
Title | 8th International Conference on Swarm Intelligence + |
Tutorial deadline | January 1, 2017 + |