AI RESEARCH
Preference-Agile Multi-Objective Optimization for Real-time Vehicle Dispatching
arXiv CS.AI
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ArXi:2604.10664v1 Announce Type: new 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 for dynamic MOO is fast-emerging due to tough market dynamics that require real-time re-adjustments of priorities for different objectives. However, most existing studies focus either on deterministic MOO problems which are not practical, or non-sequential dynamic MOO decision problems that cannot deal with some real-life complexities.