09:15am - 09:30am | Registration | |
09:30am - 10:30am | Tutorial: An introduction to nature-inspired metaheuristic algorithms | Ponnuthurai Nagaratnam Suganthan Nanyang Technological University, Singapore |
10:30am - 10:50am | Group Photo & Coffee Break | |
10:50am - 11:50am | Tutorial: An introduction to nature-inspired metaheuristic algorithms | Ponnuthurai Nagaratnam Suganthan Nanyang Technological University, Singapore |
11:50am - 02:00pm | Lunch Reception at IMS | |
02:00pm - 03:00pm | A multiobjective memetic algorithm based on particle swarm optimization | Dasheng Liu James Cook University, Singapore |
03:00pm - 04:00pm | A novel discrete particle swarm optimization approach to large-scale survey planning (Video) | Whye Loon Tung Analytics Center of Excellence Technology & Operations Group - Data Management, DBS, Singapore |
04:00pm - 04:20pm | Coffee Break | |
04:20pm - 05:20pm | Stable matching-based selection in evolutionary multiobjective optimization | Tak Wu Sam Kwong City University of Hong Kong, Hong Kong |
09:15am - 09:30am | Registration | |
09:30am - 10:30am | A partition-based random search for multi-objective optimization via simulation | Loo Hay Lee National University of Singapore, Singapore |
10:30am - 10:50am | Coffee Break | |
10:50am - 11:50am | Data stream analytics in complex environments | Mahardhika Pratama Nanyang Technological University, Singapore |
11:50am - 02:00pm | Buffet Lunch at Chilli Padi Nonya Cafe (Volunteer and self paid) Address: 29 Heng Mui Keng Terrace, #06-21 (Ground Level), Singapore 119620 | |
02:00pm - 03:00pm | Numerical optimization by differential evolution | Ponnuthurai Nagaratnam Suganthan Nanyang Technological University, Singapore |
03:00pm - 04:00pm | Nature-inspired metaheuristic algorithms for finding optimal designs for high dimensional biostatistical problems | Weng Kee Wong University of California, Los Angeles, USA |
04:00pm - 04:20pm | Coffee Break | |
04:20pm - 05:20pm | EC at work: opportunities and challenges (PDF) | Kay Chen Tan City University of Hong Kong, Hong Kong |