AI RESEARCH
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
arXiv CS.AI
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ArXi:2603.27541v1 Announce Type: cross Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical applications. These scenarios are categorized as multiparty multiobjective optimization problems (MPMOPs). For MPMOPs, the goal is to find a solution set that is as close to the Pareto front of each DM as much as possible. This poses challenges for evolutionary algorithms in terms of searching and selecting.