4 accepted papers
Automated Heuristic Design (AHD) using Large Language Models (LLMs) has achieved notable success in the past two years. Despite the effectiveness of existing approaches, they only design a single heuristic to serve all problem instances, often inducing poor generalization across different distributi
Given a social network 𝒢 with n nodes and m edges, the opinion maximization (OM) problem aims at identifying k (k ≪ n) opinion leaders to maximize their opinion propagation in 𝒢. Despite its significance and prevalence, existing OM methods often struggle to strike a satisfactory balance between theo
Multi-objective bandits with hierarchical preferences and safety constraints is central to many real-world decision-making tasks such as healthcare treatment planning and safe autonomous control, where multiple objectives must be optimized according to their priorities while ensuring safety requirem
Multi-objective optimization can be found in many real-world applications where some conflicting objectives can not be optimized by a single solution. Existing optimization methods often focus on finding a set of Pareto solutions with different optimal trade-offs among the objectives. However, the r…