134 citations · 204 across the 2 of their papers we have counts for
2 papers
cs.NE2017★ 134 cited
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…
cs.AI2011★ 70 cited
An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization
E. F. Khor, T. H. Lee, R. Sathikannan +1
This paper presents an evolutionary algorithm with a new goal-sequence domination scheme for better decision support in multi-objective optimization. The approach allows the inclus…