About

This online website for evolutionary and swarm Intelligence was built by Dr. Qiqi Duan and Dr. Hao Tong, with kindly helps from Dr. Lijun Sun, Dr. Zhiwei Xu etc.

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

Reviewer of Some Journals and Conferences

• ACM Transactions on Evolutionary Learning and Optimization
• IEEE Transactions on Cognitive and Developmental Systems
• IEEE Transactions on Evolutionary Computation
• AI & SOCIETY: 2025
• Complex & Intelligent Systems
• 2025 - Deep Learning for Code Workshop (DL4C) @ NeurIPS 2025
• 2025 - ALIFE
  • Thanks very much to Lana Sinapayen (Sony CSL) and Silvia Holler (University of Trento)
  • PDF of ALIFE 2025 Proceedings

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 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.

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

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