Cover Image

Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tian, Yuan, Mei, Yi, Zhang, Mengjie
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
by: Tian, Yuan, et al.
Published: (2026)

Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
by: Zhu, Luyao, et al.
Published: (2026)

Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
by: Huang, Zhixing, et al.
Published: (2024)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)

DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
by: Chen, Ruiqi, et al.
Published: (2025)

Learning Traffic Signal Control via Genetic Programming
by: Liao, Xiao-Cheng, et al.
Published: (2024)

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
by: Liao, Xiao-Cheng, et al.
Published: (2025)

GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem
by: Chen, Xiangling, et al.
Published: (2025)

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
by: Jang, Jaeyeon, et al.
Published: (2024)

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
by: Shen, Ya, et al.
Published: (2025)

Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning
by: Shen, Ya, et al.
Published: (2024)

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
by: Chen, Xinan, et al.
Published: (2025)

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
by: Patel, Vipul, et al.
Published: (2025)

SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

SCoUT: Scalable Communication via Utility-Guided Temporal Grouping in Multi-Agent Reinforcement Learning
by: Vora, Manav, et al.
Published: (2026)

Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling
by: Li, Zhuoran, et al.
Published: (2025)

ConPoSe: LLM-Guided Contact Point Selection for Scalable Cooperative Object Pushing
by: Steinkrüger, Noah, et al.
Published: (2025)

Multi-Focused Video Group Activities Hashing
by: Qi, Zhongmiao, et al.
Published: (2025)

AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization
by: Gu, Haoran, et al.
Published: (2026)

LiBOG: Lifelong Learning for Black-Box Optimizer Generation
by: Pei, Jiyuan, et al.
Published: (2025)

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF
by: Xiong, Nuoya, et al.
Published: (2025)

Kozax: Flexible and Scalable Genetic Programming in JAX
by: de Vries, Sigur, et al.
Published: (2025)

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
by: Houten, Kim van den, et al.
Published: (2024)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023)

Enhancing Multi-Agent Communication through Attention Steering with Context Relevance
by: Zhang, Hongxiang, et al.
Published: (2026)

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)

Metric-Gradient Projection for Stable Multi-Agent Policy Learning
by: Zhang, Zuyuan, et al.
Published: (2026)

Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
by: Raymond, Christian, et al.
Published: (2024)

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
by: Zhang, Pieyi, et al.
Published: (2025)

Understanding Mental States to Guide Social Influence in Multi-Person Group Dialogue
by: Liang, Zhichao, et al.
Published: (2026)

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems
by: Ma, Yue, et al.
Published: (2026)

Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
by: Pei, Jiyuan, et al.
Published: (2026)

Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

ScheduleMe: Multi-Agent Calendar Assistant
by: Wijerathne, Oshadha, et al.
Published: (2025)

System-Anchored Knee Estimation for Low-Cost Context Window Selection in PDE Forecasting
by: Wang, Wenshuo, et al.
Published: (2026)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
by: Deng, Mengjie, et al.
Published: (2025)

TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
by: Tian, Feng, et al.
Published: (2025)

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)