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Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”

Author

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  • Yong-Hyuk Kim

    (School of Software, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Republic of Korea)

  • Fabio Caraffini

    (Department of Computer Science, Computational Foundry, Swansea University Bay Campus, Fabian Way, Swansea SA1 8EN, UK)

Abstract

Swarm and evolutionary computation (SEC) [...]

Suggested Citation

  • Yong-Hyuk Kim & Fabio Caraffini, 2023. "Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”," Mathematics, MDPI, vol. 11(5), pages 1-3, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1209-:d:1085068
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    References listed on IDEAS

    as
    1. Won Gyu Kim & Kang Hoon Lee, 2022. "Evolutionary Exploration of Mechanical Assemblies in VR," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
    2. Dijana Jovanovic & Milos Antonijevic & Milos Stankovic & Miodrag Zivkovic & Marko Tanaskovic & Nebojsa Bacanin, 2022. "Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection," Mathematics, MDPI, vol. 10(13), pages 1-30, June.
    3. Seung-Hyun Moon & Yourim Yoon, 2022. "Genetic Mean Reversion Strategy for Online Portfolio Selection with Transaction Costs," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
    4. Dong-Hee Cho & Seung-Hyun Moon & Yong-Hyuk Kim, 2021. "Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction," Mathematics, MDPI, vol. 9(20), pages 1-19, October.
    5. Jaeyoung Yang & Yong-Hyuk Kim & Yourim Yoon, 2022. "A Memetic Algorithm with a Novel Repair Heuristic for the Multiple-Choice Multidimensional Knapsack Problem," Mathematics, MDPI, vol. 10(4), pages 1-15, February.
    6. Alessandro Niccolai & Gaia Gianna Taje & Davide Mosca & Fabrizio Trombello & Emanuele Ogliari, 2022. "Industrial Demand-Side Management by Means of Differential Evolution Considering Energy Price and Labour Cost," Mathematics, MDPI, vol. 10(19), pages 1-16, October.
    7. Mohammad Khishe & Fabio Caraffini & Stefan Kuhn, 2021. "Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
    8. Jaehyeong Lee & Hyuk Jang & Sungmin Ha & Yourim Yoon, 2021. "Android Malware Detection Using Machine Learning with Feature Selection Based on the Genetic Algorithm," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    9. Yenny Villuendas-Rey & Eley Barroso-Cubas & Oscar Camacho-Nieto & Cornelio Yáñez-Márquez, 2021. "A General Framework for Mixed and Incomplete Data Clustering Based on Swarm Intelligence Algorithms," Mathematics, MDPI, vol. 9(7), pages 1-24, April.
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