367 citations · 1.3k across the 62 of their papers we have counts for
3 papers · 2 filters
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution
Adam Żychowski, Abhishek Gupta, Jacek Mańdziuk +1
This paper presents algorithmic and empirical contributions demonstrating that the convergence characteristics of a co-evolutionary approach to tackle Multi-Objective Games (MOGs)…
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results
Yuan Yuan, Yew-Soon Ong, Liang Feng +7
In this report, we suggest nine test problems for multi-task multi-objective optimization (MTMOO), each of which consists of two multiobjective optimization tasks that need to be s…
Co-evolutionary multi-task learning for dynamic time series prediction
Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
Time series prediction typically consists of a data reconstruction phase where the time series is broken into overlapping windows known as the timespan. The size of the timespan ca…