AI RESEARCH
Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning
arXiv CS.AI
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ArXi:2604.00795v1 Announce Type: new We propose the Preference Guided Iterated Pareto Referent Optimisation (PG-IPRO) for urban route planning for people with different accessibility requirements and preferences. With this algorithm the user can interact with the system by giving feedback on a route, i.e., the user can say which objective should be further minimized, or conversely can be relaxed. This leads to intuitive user interaction, that is especially effective during early iterations compared to information-gain-based interaction.