Research Topics

This website mainly covers the following research topics:

Evolutionary Computation (EC): e.g.,
- Evolutionary Algorithms (EA): e.g.,
  - Genetic Algorithms (GA):
    - Differential Evolution (DE)
  - Evolution Strategies (ES)
  - Evolutionary Programming (EP)
  - Genetic Programming (GP)
  - Parallel/Distributed EAs (DEA)
  - Meta-EAs (MEA, AKA Multi-Level EA)
- NeuroEvolution (NE): e.g.,
  - Science Review in 2025 by Prof. Risto Miikkulainen
- Evolutionary Robotics (ER)
- Quality-Diversity (QD)
  - For Psychological Games: Nature Machine Intelligence 2025 by New York University
  - For Self-Diagnosis Robots: Nature 2015 (Cover) by Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret
  - Open-Source Library: QDax JMLR 2024 from InstaDeep and Imperial College London
  - Novelty Search
- Population-Based Randomized/Stochastic Search
- Evolvability
- Intersections between Foundation Model and EC: e.g.,
  - FunSearch: e.g.,
    - For Symbolic Cognitive Models: 2025 by DeepMind, Howard Hughes Medical Institute, Rockefeller University, Max Planck Institute for Biological Cybernetics, Princeton University, University College London, Columbia University
    - For Mathematical Discoveries: Nature 2024 by DeepMind, University of Wisconsin-Madison, University of Lyon
Swarm Intelligence (SI) [aka Collective Intelligence]
- Ant Colony Optimization (ACO)
- Particle Swarm Optimization (PSO)
- Consensus-Based Optimization (CBO)
- Swarm Robotics (SR)
- Neural Swarm (NS), e.g.,
  - For Foundation Models: e.g.,
  - For Flocking
- Swarmalators
- Conceptual and philosophical Models for SI
  - 2024 (Multiscale Competency Architecture): Evolutionary Implications of Multi-Scale Intelligence Hartl, Risi, Levin
  - 2024 (Multiscale Competency Architecture): Collective intelligence: A unifying concept for integrating biology across scales and substrates (McMillen&Levin, Communications Biology, 28 March 2024)
  - 2022 TAME (Technological Approach to Mind Everywhere): Michael Levin from Allen Discovery Center at Tufts University and Wyss Institute for Biologically Inspired Engineering at Harvard University
    - “Nested Structurally and Functionally”
    - “Metabolic, Physiological, Morphological/Anatomical, Behavioral Space”
    - “Collective Dynamics (homeodynamics vs homeostasis): Cooperate and Compete”
    - “Diverse Intelligence”
    - “Robustness, Open-Endedness, Evolvability, Complexity”
  - 2007 Collective Minds: Nature by Couzin
Artifical Life
- Open-Ended Evolution (OEE)
Continual Learning
Complex Systems
- Adaptive Complex Systems

Research Activities

Each time the HomePage of this website selects a specific research activity as shown below.

Members of Core Maintainers

Qiqi Duan

IEEE CEC-2025 Tutorial: Meta-Evolution: Biological Backgrounds, Design Principles, Meta-Diversity, and Distributed Implementations
- With Prof. Yuhui Shi, Dr. Qi Zhao, Dr. Lijun Sun
- Thanks very much for Prof. Wei-neng Chen and Prof. Sanaz Mostaghim (two Tutorial chairs)
Member in Program Committee of ALIFE 2025
- Thanks very much for Lana Sinapayen and Silvia Holler
2025 TEVC (CCF-B): Learning for Automatic Algorithm Design
- With Dr. Qi Zhao etc.
2025 TMLR: A Survery for Automatic Algorithm Design
- With Dr. Qi Zhao etc.
2024 PRICAI: Box-Box Fine-Tuning of LLMs (based on Princeton’s MeZO)
2024 ASOC (JCR Q1): Convergence Analysis of Cooperative Coevolution
- With Dr. Chang Shao etc.
2024 JMLR (CCF-A): PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
- Thanks very much for Guochen Zhou and Chang Shao etc.
2024 TPDS (CCF-A): Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization
2022 Best Paper Nomination in one of representative EC conferences PPSN (CCF-B): Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
- More than 1K Accesses
IEEE SSCI-2021: Session Co-Chair of ACO/PSO/SR/SI for optimization problems
- With Prof. Sanaz Mostaghim
From 2021: One of Core Members (Led by Prof. Shi) of Shenzhen Fundamental Research Program under Grant No. JCYJ20200109141235597 (2,000,000 Yuan to 2023) for Distributed Evolutionary Algorithms
2018 PPSN (CCF-B): Distributed PSO on Spark

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).