---
title: "Swarm and Evolutionary Computation: impact and top papers"
description: "Swarm and Evolutionary Computation has a 2-year mean citedness of 8.98 and an h-index of 130 in OpenAlex, #13 of 41 tracked AI journals by citedness. In 2025 it published 437 papers, and its papers received 15,357 citations."
url: https://scholar4ai.com/journals/swarm-and-evolutionary-computation
markdown_url: https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Swarm and Evolutionary Computation has a 2-year mean citedness of 8.98 and an h-index of 130 in OpenAlex, #13 of 41 tracked AI journals by citedness. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T18:03:37+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# Swarm and Evolutionary Computation

- 4 papers in the last 7 days
- category: AI
- publisher: Elsevier BV
- ISSN 2210-6502
- Journal website: https://www.journals.elsevier.com/swarm-and-evolutionary-computation
- ISSN portal: https://portal.issn.org/resource/ISSN/2210-6502
- OpenAlex: https://openalex.org/S2764346689

Back to the ranking: https://scholar4ai.com/rankings/journals.md

Rankings of AI: [AI dashboard](https://scholar4ai.com/categories/ai.md) · [AI journal rankings by citations](https://scholar4ai.com/rankings/journal-metrics/ai.md) · [Top AI institutions, 2023–2025](https://scholar4ai.com/rankings/institutions-by-year/ai.md) · [Top funders of AI research](https://scholar4ai.com/rankings/funders/ai.md) · [Companies in AI research](https://scholar4ai.com/rankings/companies/ai.md) · [Open access in AI journals](https://scholar4ai.com/rankings/open-access/ai.md) · [Top AI conferences](https://scholar4ai.com/proceedings/categories/ai.md)

## Key findings

- Swarm and Evolutionary Computation has a 2-year mean citedness of 8.98 and an h-index of 130 in OpenAlex, #13 of 41 tracked AI journals by citedness.
- In 2025 it published 437 papers, and its papers received 15,357 citations.
- Swarm and Evolutionary Computation published 26 papers in the last 30 days (2026-10-05 to 2026-11-03), ranking #39 of 480 journals.
- Leading institutions: National University of Defense Technology (5), Xidian University (3) and Jilin University (2).
- Countries: China (19), India (2) and Germany (1).
- From Nov 2023 to Oct 2026, Swarm and Evolutionary Computation published 26 papers (1 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “multi-objective optimization” (6), “Q-learning” (4) and “reinforcement learning” (4).

## Citation metrics

*Citation metrics (OpenAlex)*

| Metric | Value |
|---|---:|
| 2-year mean citedness | 8.98 |
| h-index | 130 |
| i10-index | 1,344 |
| Papers in OpenAlex | 2,346 |
| Citations in OpenAlex | 95,753 |
| Rank among tracked AI journals | [#13 of 41](https://scholar4ai.com/rankings/journal-metrics/ai.md) |

*Papers per year and the citations the journal's papers received that year (OpenAlex)*

| Year | Papers | Citations received |
|---|---:|---:|
| 2026 (so far) | 316 | 11,697 |
| 2025 | 437 | 15,357 |
| 2024 | 312 | 13,105 |
| 2023 | 180 | 11,316 |
| 2022 | 143 | 10,256 |
| 2021 | 141 | 9,212 |
| 2020 | 147 | 7,098 |
| 2019 | 142 | 5,496 |
| 2018 | 147 | 3,668 |
| 2017 | 100 | 2,574 |
| 2016 | 65 | 1,959 |

2-year mean citedness is OpenAlex's count of citations per paper a journal published in the two previous years, an open counterpart to the journal impact factor (which counts only Web of Science citations); the h-index and i10-index cover all its papers. The figures come from OpenAlex (CC0) and are read again monthly.

Official metrics such as the Journal Impact Factor (Clarivate) and CiteScore (Scopus) are licensed by their owners and not copied here; the publisher shows them on the journal's website. Journal website: https://www.journals.elsevier.com/swarm-and-evolutionary-computation

## The last 36 months

*Papers by publication date, Nov 2023 to Oct 2026*

| Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---:|---:|---:|---:|
| 0 | 0 | 26 | 26 |

*Most frequent keywords, Nov 2023 to Oct 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [multi-objective optimization](https://scholar4ai.com/keywords/multi-objective-optimization.md) | 6 |
| 2 | Q-learning | 4 |
| 3 | [reinforcement learning](https://scholar4ai.com/keywords/reinforcement-learning.md) | 4 |
| 4 | evolutionary algorithms | 3 |
| 5 | NSGA-III | 2 |
| 6 | environmental selection | 2 |
| 7 | [exploration-exploitation balance](https://scholar4ai.com/keywords/exploration-exploitation-balance.md) | 2 |
| 8 | [hyperparameter optimization](https://scholar4ai.com/keywords/hyperparameter-optimization.md) | 2 |
| 9 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 2 |
| 10 | local search | 2 |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-31 | [Evolutionary memory-guided co-evolution of search and reasoning for manufacturing value chain scheduling](https://doi.org/10.1016/j.swevo.2026.102590) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Wenjun Xu, Shuang Zheng, Kaipu Wang et al. | Wuhan University of Technology |
| 2026-10-31 | [Preference-conditioned graph reinforcement learning for dynamic integrated scheduling of AGVs and unrelated parallel machines with finite buffers](https://doi.org/10.1016/j.swevo.2026.102589) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Lei Yue, Yuhao Zhu, Dan Luo et al. | Guangzhou University; Dalian University of Technology; Liaocheng University |
| 2026-10-29 | [Distribution-guided evolution and tail-adaptive search for robust portfolio optimization](https://doi.org/10.1016/j.swevo.2026.102581) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Tanuja Mathpal, Arun Kumar | Govind Ballabh Pant University of Agriculture and Technology |
| 2026-10-29 | [An online adaptive dual-space prediction strategy for dynamic interval constrained multi-objective optimization problems](https://doi.org/10.1016/j.swevo.2026.102561) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Qihong Chen, Qingsong Zhao, Zhigang Zou et al. | National University of Defense Technology |
| 2026-10-27 | [Non-linear search-space transformations break scale invariance in bounded particle swarm optimization](https://doi.org/10.1016/j.swevo.2026.102579) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Jörg Kunkelmoor, Paolo Mercorelli | Leuphana University of Lüneburg |
| 2026-10-27 | [A Q-learning enhanced multi-objective memetic algorithm for vehicle routing with simultaneous pickup-delivery and time windows](https://doi.org/10.1016/j.swevo.2026.102582) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | 赖雪瑜, Yalan Zhou | Guangdong University Of Finances and Economics; Guangdong University of Finance |
| 2026-10-26 | [ChiSao: A fully GPU-resident optimizer for cataloguing the modes of multimodal black-box functions](https://doi.org/10.1016/j.swevo.2026.102574) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Ira Wolfson | Braude College of Engineering Karmiel |
| 2026-10-25 | [GANCS: GAT-enhanced PPO warm-starting of NSGA-III for energy- and SLA-aware cloud workflow scheduling](https://doi.org/10.1016/j.swevo.2026.102565) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Amine Chraibi | Université Ibn Zohr |
| 2026-10-25 | [A bi-level reinforcement learning-driven adaptive genetic algorithm for dynamic flexible job shop scheduling in complex product manufacturing](https://doi.org/10.1016/j.swevo.2026.102576) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Qingyang Jia, Jennifer Li Jennifer Li, Yajie Dou et al. | National University of Defense Technology; Xidian University |
| 2026-10-24 | [Robust Constrained Multimodal Dominance evolution for dynamic weapon–target assignment](https://doi.org/10.1016/j.swevo.2026.102583) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Xingyi Yao, Wenhua Li, Tao Zhang et al. | National University of Defense Technology |
| 2026-10-24 | [Timebox-enhanced evolutionary algorithm for electric vehicle–drone routing problem with drone stations and time windows](https://doi.org/10.1016/j.swevo.2026.102580) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Setyo Tri Windras Mara, Ruhul Amin Sarker, Saber Mohammed Elsayed et al. | UNSW Canberra; University of Sharjah; Basque Center for Applied Mathematics; … |
| 2026-10-24 | [RL-EPSO: Feature-level Q-learning-enhanced binary particle swarm optimization for feature selection](https://doi.org/10.1016/j.swevo.2026.102571) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Kunpeng Zhang, Shulin Yan, Jingyi Jin et al. | Qingdao University of Science and Technology; Jilin University; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University |
| 2026-10-24 | [NOPT: A learning-enhanced metaheuristic solver for combinatorial optimization problems](https://doi.org/10.1016/j.swevo.2026.102559) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Lei Li, Yonghao Du, Feng Yao et al. | National University of Defense Technology; Xidian University; Jiangsu University of Technology; … |
| 2026-10-24 | [A multimodal multi-objective evolutionary algorithm with dual-space guidance and adaptive isolation](https://doi.org/10.1016/j.swevo.2026.102584) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Meilin Zhang, Junhua Li, Caitong Yue et al. | Nanchang Hangkong University; Zhengzhou University; Anhui University of Science and Technology |
| 2026-10-24 | [Visual-Enhanced Fireworks Algorithm via multimodal large language models](https://doi.org/10.1016/j.swevo.2026.102577) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Shipeng Cen, Ying Tan | Peking University |
| 2026-10-24 | [A model-agnostic explainable framework for parameter approximation in global optimization algorithms](https://doi.org/10.1016/j.swevo.2026.102569) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Pablo Olivares, Rodrigo Olivares | University of Valparaíso |
| 2026-10-23 | [Thermodynamically governed unified optimisation: Regime dependence across scalar, multimodal, and multiobjective search](https://doi.org/10.1016/j.swevo.2026.102586) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Krishnan Batri, G. Geetha, Lakshmi S | Sharda University |
| 2026-10-22 | [Toward verifiable learning-driven satellite mission planning: Architecting learn to optimize and large language models](https://doi.org/10.1016/j.swevo.2026.102566) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Yaoyuan Zeng, Xin Long, Haoran Zhang et al. | National University of Defense Technology; Xidian University; Jiangsu University of Technology |
| 2026-10-21 | [Prediction-based dynamic constrained multi-objective optimization via temporal–spatial response error suppression](https://doi.org/10.1016/j.swevo.2026.102562) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Yuanjun Chen, Chaoda Peng, Sheng-Hao Wu et al. | South China Agricultural University; Jilin University; Hong Kong Polytechnic University |
| 2026-10-21 | [A PINN-assisted physics-guided meta-heuristic optimization method for material–energy synergy in converter steelmaking](https://doi.org/10.1016/j.swevo.2026.102587) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Ke Dong, Congbo Li, Bo Li et al. | Chongqing University; State Key Laboratory of Mechanical Transmission; CISDI Group (China) |
| 2026-10-19 | [A Q-learning-guided evolutionary hyper-heuristic for dynamic multi-UAV coalition mission planning](https://doi.org/10.1016/j.swevo.2026.102578) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Mengji Shi, Xiao Cheng, Yu Wu et al. | University of Electronic Science and Technology of China |
| 2026-10-19 | [An evolutionary algorithm-based event-adaptive rolling-horizon framework for dynamic wafer probing rescheduling with flexible preventive maintenance](https://doi.org/10.1016/j.swevo.2026.102570) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Yifan Gao, Xinyu Li, Chunjiang Zhang et al. | Huazhong University of Science and Technology |
| 2026-10-19 | [A boundary expansion local search framework for enhancing diversity of MOEAs in multi-objective combinatorial optimization](https://doi.org/10.1016/j.swevo.2026.102572) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Xuepeng Ren, Shengxiang Yang, Guangming Dai et al. | China University of Geosciences; De Montfort University |
| 2026-10-18 | [Reinforcement learning-assisted parameter control for constrained multi-objective evolutionary optimization](https://doi.org/10.1016/j.swevo.2026.102568) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Zhe Yang, Libao Deng, Chunlei Li et al. | Harbin Institute of Technology; Tsinghua University |
| 2026-10-15 | [A scalable channel pruning framework with computation-adaptive artificial bee colony](https://doi.org/10.1016/j.swevo.2026.102563) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Yijie Chen, Chengyang Sun, Yaqi Yao et al. | Northwest A&F University; Hunan University; SUNY New Paltz |
| 2026-10-15 | [An adaptive Bi-population and harmonic distance of density differences for multi-objective evolutionary algorithm](https://doi.org/10.1016/j.swevo.2026.102573) | [Swarm and Evolutionary Computation](https://scholar4ai.com/journals/swarm-and-evolutionary-computation.md) | Baihao Qiao, Ziru Feng, Rongrong Bai et al. | Zhongyuan University of Technology |

## Cite this page

Scholar4AI. (2026). Swarm and Evolutionary Computation. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/journals/swarm-and-evolutionary-computation

```bibtex
@misc{scholar4ai-journals-swarm-and-evolutionary-computation,
  author = {{Scholar4AI}},
  title = {Swarm and Evolutionary Computation},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/swarm-and-evolutionary-computation}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).