activity
20222026
most citedReinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities

5 citations · 14 across the 9 of their papers we have counts for

collaborators

10 papers

cs.NE2026

CIPHEUR: LLM-Guided Structural Search Control for Conflict-Graph Optimization

Yuqing Cheng, Yan Jia, Yanjie Song +3

Conflict-graph search can stagnate despite effective operators when interventions fail to address the conflicts blocking progress. A disruptive intervention may also require furthe…

cs.NI2026

EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling

Qian Yin, Jiaxing Li, Jiaqi Cheng +23

Earth observation satellite imaging scheduling is a challenging NP-hard combinatorial optimisation problem central to space mission operations. While next-generation agile Earth ob…

cs.NE2024

A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode

Yingying Ren, Qiuli Li, Yangyang Guo +4

With the rapid development of the satellite industry, the information transmission network based on communication satellites has gradually become a major and important part of the…

math.OC2024

An Evolutionary Task Scheduling Algorithm Using Fuzzy Fitness Evaluation Method for Communication Satellite Network

Xuemei Jiang, Yangyang Guo, Yue Zhang +3

Communications satellite network (CSN), as an integral component of the next generation of communication systems, has the capability to offer services globally. Data transmission i…

math.OC2024

A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem

Yunbao Xu, Xuemei Jiang, Jun Li +2

The reduction of carbon emissions in the manufacturing industry holds significant importance in achieving the national "double carbon" target. Ensuring energy efficiency is a cruci…

cs.NE2023★ 5 cited

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities

Yanjie Song, Yutong Wu, Yangyang Guo +7

Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance…

cs.NE2023★ 4 cited

A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

Yangyang Guo, Hao Wang, Lei He +3

An efficient team is essential for the company to successfully complete new projects. To solve the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer p…

cs.LG2023

Ensemble Reinforcement Learning: A Survey

Yanjie Song, P. N. Suganthan, Witold Pedrycz +4

Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain ch…

cs.NE2023

Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem

Yanjie Song

For complex combinatorial optimization problems, models and algorithms are at the heart of the solution. The complexity of many types of satellite mission planning problems is NP-h…

cs.NE2022★ 5 cited

RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem

Yanjie Song, Luona Wei, Qing Yang +3

The study of electromagnetic detection satellite scheduling problem (EDSSP) has attracted attention due to the detection requirements for a large number of targets. This paper prop…