About

Qiqi Duan

My long-term research goal is to build (fully open-source, multi-level evolved, self-adaptive, open-ended) distributed neural-computing systems for recursively self-improving AI, bio-inspired Intelligent Machines (intelligent robots with meta-learning and continual learning), self-replicating Artificial Life, and hierarchically emerging Swarm Intelligence.

Open-Source Software (OSS) for Population-Based Optimization (PBO)

• [2024] One MLOSS Paper on JMLR (CCF-A):
  • PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
  • With Ph.D. Guochen Zhou and Ph.D. Chang Shao, Ph.D. Yijun Yang (Tencent Inc.), etc.
  • Applications & Citations (to name a few):
    • [Veenstra et al., Nature, 2025]
  • 

For this research direction OSS, the following journals/conferences are focused on (just to name a few):

• ACM Transactions on Mathematical Software
• Journal of Statistical Software
• Operations Research (Data, Software, and Computation)
• INFORMS Journal on Computing (Software Tools)
• Journal of Open Source Software
• Journal of Open Research Software
• Neural Information Processing Systems Track on Datasets and Benchmarks
• ACM GECCO (SESSION: Benchmarking, Benchmarks, Software and Reproducibility)

Distributed Meta-Evolutionary Algorithms (DMEA)

• [2025] A Speaker on LEAD (Workshop on Learning-assisted Evolutionary Algorithm Design):
  • In Chinese: LEAD
• [2025] A Tutorial on IEEE-CEC:
  • Meta-Evolution: Biological Backgrounds, Design Principles, Meta-Diversity, and Distributed Implementations
  • With Prof. Yuhui Shi, Dr. Qi Zhao, and Dr. Lijun Sun
  • Thanks very much to Prof. Wei-neng Chen and Prof. Sanaz Mostaghim (As Tutorial Chairs)
• [2024] One Full Paper on TPDS (CCF-A):
  • Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization
• [2024] One Full Paper on ASOC (JCR-Q1), Which Mainly Extended One IEEE-CEC Paper in 2019:
  • Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
• [2022] Best Paper Nomination for One Full Paper on PPSN (CCF-B):
  • Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
• [2022] A Companion Paper on ACM-GECCO:
  • Distributed Evolution Strategies for Large-Scale Optimization
• [2021 - 2023] Core Member of Shenzhen Fundamental Research Program:
  • For Distributed Evolutionary Algorithms (DEA)
  • A total of 2,000,000 Yuan (to my Ph.D. Advisor in SUSTech)

Distributed Swarm Intelligence (DSI)

• [2025 - 2026] ANTS - International Conference on Swarm Intelligence:
  • As a Member of its PROGRAM COMMITTEE
  • Thanks very much to Prof. Roderich Gross (General Chair) and Julian Rau (Paper Submission Chair)
• [2021] Co-Chair of Session SIS1/SIS2/SIS3/SIS4 in IEEE SSCI:
  • With Prof. Sanaz Mostaghim
• [2018] One Full Paper on PPSN (CCF-B):
  • Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization

As One Reviewer of Following Journals/Conferences

• ACM Transactions on Evolutionary Learning and Optimization
• IEEE Transactions on Cognitive and Developmental Systems
• IEEE Transactions on Evolutionary Computation
• AI & SOCIETY
• Complex & Intelligent Systems
• 2025 - Deep Learning for Code Workshop (DL4C) @ NeurIPS 2025
• ALIFE
  • Thanks very much for Lana Sinapayen (Sony CSL) and Silvia Holler
• International Conference on Neural Information Processing

Zhiwei Xu

• Member in Program Committee of ACAIT2025
• Session Chair of BIC-TA 2024
• 2024 TEVC (CCF-B): Two-Stage Multi-Objective Evolution Strategy for Constrained Multi-Objective Optimization
  • With Prof. Gary G. Yen and Prof. Kai Zhang
• 2024 SCIS (CCF-A): Two-Stage Multimodal Multi-Objective Evolutionary Algorithm Based on Global Density Updating Strategy
  • With Prof. Xingyi Zhang, Prof. Juanjuan He and Prof. Kai Zhang
• 2024 ASOC (JCR Q1): Decision Variable Classification based Multi-Objective Multifactorial Memetic Algorithm for Multi-Objective Multi-Task Optimization Problem
  • With Prof. Kai Zhang and Prof. Juanjuan He
• 2022 INS (CCF-B): Cultural Transmission Based Multi-Objective Evolution Strategy for Evolutionary Multitasking
  • With Prof. Kai Zhang and Prof. Juanjuan He
• 2022 INS (CCF-B): A Novel Membrane-Inspired Evolutionary Framework for Multi-Objective Multi-Task Optimization Problems
  • With Prof. Kai Zhang and Prof. Juanjuan He
• 2021 ASOC (JCR Q1): Multiobjective Multifactorial Immune Algorithm for Multiobjective Multitask Optimization Problems
  • With Prof. Kai Zhang
• 2021 TCYB (CCF-B): Evolution Strategy-Based Many-Objective Evolutionary Algorithm Through Vector Equilibrium
  • With Prof. Gary G. Yen, Prof. Shengli Xie, and Prof. Kai Zhang
• 2021 TEVC (CCF-B): Two-Stage Double Niched Evolution Strategy for Multimodal Multiobjective Optimization
  • With Prof. Gary G. Yen and Prof. Kai Zhang

Lijun Sun

• 2023 INS (CCF-B): Toward multi-target self-organizing pursuit in a partially observable Markov game
  • With Prof. Yuhui Shi, Prof. Chin-Teng Lin etc.
• 2021 IEEE CEC: Multiple-preys pursuit based on biquadratic assignment problem
  • With Prof. Yuhui Shi, Prof. Chin-Teng Lin etc.
• 2020 ASOC (JCR Q1): Cooperative coevolution of real predator robots and virtual robots in the pursuit domain
  • With Prof. Yuhui Shi etc.

: A summary of total number of visitors for Evolutionary-Intelligence.github.io (News-Focused) and DistributedEvolutionaryComputation (Paper-Focused).