7 citations · 11 across the 11 of their papers we have counts for
11 papers
Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review
Peilan Xu, Yang Li, Wenjian Luo
The berth allocation and quay crane assignment problem (BACAP) is a representative port-terminal scheduling problem in maritime transportation and freight logistics, where vessel a…
Structure-Conditioned Actor-Critic Branches for Quality-Diversity Reinforcement Learning
Lianrong Zuo, Peilan Xu, Yong Liu +1
Quality-diversity reinforcement learning (QD-RL) aims to construct policy repertoires that contain both high-performing and behaviorally diverse policies. Existing QD-RL methods ma…
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
Jiahao Huang, Peilan Xu, Xiaoya Nan +1
Automating operations research (OR) with large language models (LLMs) remains limited by hand-crafted reasoning--execution workflows. Complex OR tasks require adaptive coordination…
Multi-Party Multi-Objective Optimization as Consensus Search: Runtime Analysis of Cross-Party Recombination
Xiaolei Fang, Peilan Xu, Wenjian Luo
Multi-party multi-objective optimization problems (MPMOPs) require consensus among autonomous decision makers and therefore differ from flattened many-objective formulations. Exist…
Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility
Zikang Liu, Peilan Xu
Generative answer engines expose content through selective citation rather than ranked retrieval, fundamentally altering how visibility is determined. This shift calls for new opti…
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
Kesheng Chen, Wenjian Luo, Qi Zhou +3
Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical ap…
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
Zifan Zhao, Peilan Xu, Wenjian Luo
In multiparty multiobjective optimization problems, solution sets are usually evaluated using classical performance metrics, aggregated across DMs. However, such mean-based evaluat…
Decomposability-Guided Cooperative Coevolution for Large-Scale Itinerary Planning
Ziyu Zhang, Peilan Xu, Yuetong Sun +2
Large-scale itinerary planning is a variant of the traveling salesman problem, aiming to determine an optimal path that maximizes the collected point-of-interest (POI) scores while…
Narrative-Driven Travel Planning: Geoculturally-Grounded Script Generation with Evolutionary Itinerary Optimization
Ziyu Zhang, Ran Ding, Ying Zhu +2
To enhance tourists' experiences and immersion, this paper proposes a narrative-driven travel planning framework called NarrativeGuide, which generates a geoculturally-grounded nar…
Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
Yuetong Sun, Peilan Xu, Wenjian Luo
In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the pr…
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
Wenjian Luo, Peilan Xu, Shengxiang Yang +1
The competition focuses on Multiparty Multiobjective Optimization Problems (MPMOPs), where multiple decision makers have conflicting objectives, as seen in applications like UAV pa…