most citedGenetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

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cs.NE2026

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…

cs.NE2025

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…