1 citations · 1 across the 4 of their papers we have counts for
4 papers
MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design
Zishang Qiu, Xinan Chen, Rong Qu +1
Large Language Models (LLMs) have advanced Automatic Heuristic Design (AHD) by enabling heuristic generation through reasoning and code synthesis. In LLM-based AHD, the LLM reasons…
Preference-Agile Multi-Objective Optimization for Real-time Vehicle Dispatching
Jiahuan Jin, Wenhao Zhao, Rong Qu +4
Multi-objective optimization (MOO) has been widely studied in literature because of its versatility in human-centered decision making in real-life applications. Recently, demand fo…
PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling
Leshan Tan, Chenwei Jin, Xinan Chen +2
Data-driven genetic programming (GP) has proven highly effective in solving combinatorial optimization problems under dynamic and uncertain environments. A central challenge lies i…
Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
Xinan Chen, Rong Qu, Jing Dong +2
Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequ…