International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence on April 26-28, 2025 in Tokyo, Japan

International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence on April 26-28, 2025 in Tokyo, Japan

PUBLICATION:

The accepted and presented papers will be included into ISMSI 2025 Conference Proceedings (ISBN: 979-8-4007-1045-2), which will be published in the International Conference Proceedings Series by ACM, archived in ACM Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). The authors of the papers will be invited to participate in the ISMSI 2025 to display their research results.

 

KEYNOTE SPEAKERS:

I. Prof. KWONG Sam Tak Wu, Lingnan University, Hong Kong, China

IEEE Fellow, US National Academy of Innovators Fellow

Hong Kong Academy of Engineering and Sciences Fellow

Speech Title: Creating a Better Future: Harnessing AI for Social and Environmental Responsibility

 

II. Prof. Naoyuki Kubota, Tokyo Metropolitan University, Japan

Director of Community-centric Systems Research Center, Tokyo Metropolitan University, Japan

Representative Director of the Tokyo Biomarker Innovation Research Association, Japan

Speech Title: Topological Intelligence and Coevolutionary Computation

 

III. Prof. Amir H. Gandomi, University of Technology Sydney, Australia

ARC DECRA Fellow, Highly Cited Researcher award (top 1% publications and 0.1% researchers)

Speech Title: Evolutionary and Swarm Intelligence for Real-World Problems

 

CONFERENCE SCHEDULE:

April 26, 2025---Sign-in and Visiting

April 27, 2025---(Morning)----Openning Remarks & Keynote Speeches

                        (Afternoon)----Onsite Parallel Sessions

April 28, 2025--- Virtual Parallel Sessions

 

CONTACT:

Chris Zhang (Conference Secretary)

E-mail: [email protected]

Algorithmic Intelligence in Optimisation, Control and Design

Approximate and exact algorithms for Combinatorial and Continuous Optimisation

Cuckoo 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

Name: etpub

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