2 papers
cs.AI2026
Preference-Agile Multi-Objective Optimization for Real-time Vehicle Dispatching
Jiahuan Jin, Wenhao Zhao, Rong Qu +4
Multi-objective optimization (MOO) has been widely studied in literature because of its versatility in human-centered decision making in real-life applications. Recently, demand fo…
cs.NE2026
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
Ke Shang, Hisao Ishibuchi, Zexuan Zhu +1
Few-for-many (F4M) optimization, recently introduced as a novel paradigm in multi-objective optimization, aims to find a small set of solutions that effectively handle a large numb…