资源分类
》 资源 》论文》Managing Qualitative Preferences and Constraints in a Dynamic Environment

Managing Qualitative Preferences and Constraints in a Dynamic Environment

2019-11-11 | |  56 |   52 |   0
Abstract The problem of finding the set of pareto optimals for constraints and qualitative preferences together is of great interest to many application areas. It can be viewed as a preference constrained optimization problem where the goal is to find one or more feasible solutions that are not dominated by other feasible outcomes. Our work aims to enhance the current literature of the problem by providing solving methods targeting the problem in a dynamic environments. We target the problem with an eye on adopting and benefiting from the current constraint satisfaction techniques.

上一篇：Decision-Theoretic Approximations for Machine Learning M. Ehsan Abbasnejad

下一篇：High-Level Program Execution in Multi-Agent Settings

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...