2nd IEEE CIS Summer School on Contemporary Advancement in Multi Objective Optimization (CAMOO)
Multi-objective Optimization (MOO), even though well explored remains challenging even today because of so many aspects of it are still unattended. This endeavor is going to ensure coverage of latest research initiatives being undertaken by the galaxy of resource persons in this domain throughout the globe under one canopy.
Registration Procedure:
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Pay the required registration fee and email the payment receipt to summerschool.aus@gmail.com
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Go to https://events.vtools.ieee.org/event/register/421454 to complete your registration. Make sure to include the transaction ID of the payment in the @EventNotes field of the registration form. You will receive a confirmation email from IEEE Vtools upon registration. After your payment is verified, the Summer School organizers will send you an invitation email. For any query please call +91 9475413463.
Date and Time
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- Department of Computer Science and Engineering, Assam University
- Silchar, Assam
- India 788011
- Building: Department of Computer Science and Engineering
- Contact Event Hosts
- Co-sponsored by Department of Computer and Engineering, Assam University, Silchar, India
- Starts 20 May 2024 08:54 AM UTC
- Ends 10 August 2024 11:25 AM UTC
- No Admission Charge
Speakers
Prof. Kalyanmoy Deb of Michigan State University
Enhancing Performance of Evolutionary Multi-objective Optimization Using Machine Learning
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Prof. Hisao Ishibuchi of Southern University of Science and Technology
Fair Performance Comparison of Multi-Objective Evolutionary Algorithms
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Prof. Swagatam Das of Indian Statistical Institute Kolkata
Evolutionary Computation on the Transformative Landscape of Large Language Models: Perspectives and Future Challenges.
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Prof. Carlos Coello Coello of CINVESTAV-IPN
What is Missing in Evolutionary Optimization?
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Prof. Ujjwal Maulik of Jadavpur University
Evolutionary Single and Multiobjective Clustering
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Prof. Hiroyuki Sato of The University of Electro-communications, Japan
Evolutionary Many-objective optimization.
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Prof. Ankur Sinha of Indian Institute of Management (IIM) Ahmedabad
Bilevel Optimization: Methods and Applications
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Prof. Qingfu Zhang of University of Hong Kong
Recent Development in Decomposition Based Multiobjective Evolutionary Algorithms
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Prof. Ong Yew Soon of Nanyang Technological University
Transfer and Multitask Optimization
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Prof. Carlos M. Fonseca of University of Coimbra, Portugal
Preference articulation and performance evaluation in evolutionary multiobjective optimization
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Prof. Günter Rudolph of TU Dortmund University, Germany
Evolutionary Multiobjective Optimization over Unbounded Integer Space.
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Prof. Andries Engelbrecht of Stellenbosch University, South Africa.
Recent Advances in Particle Swarm Optimization for Multi-objective and Many-objective Optimization.
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Prof. Jun Zhang of Hanyang University, South Korea
Matrix based Evolutionary Computation
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