13 citations · 14 across the 12 of their papers we have counts for
4 papers · 1 filter
LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization
Mingen Kuang, Xudong Deng, Xi Lin +3
While Large Language Models (LLMs) have recently shown promise in Automated Heuristic Design (AHD), existing methods typically generate and evolve heuristics as a single operator o…
TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design
Chentong Chen, Mengyuan Zhong, Ye Fan +2
Although Large Language Models have advanced Automated Heuristic Design, treating algorithm evolution as a monolithic text generation task overlooks the coupling between discrete a…
HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
Chentong Chen, Mengyuan Zhong, Ye Fan +2
LLM-based Automatic Heuristic Design (AHD) within Evolutionary Computation (EC) frameworks has shown promising results. However, its effectiveness is hindered by the use of static…
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure
Jialong Shi, Qingfu Zhang, Edward Tsang
Local search is a basic building block in memetic algorithms. Guided Local Search (GLS) can improve the efficiency of local search. By changing the guide function, GLS guides a loc…