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AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:1089-778X
  • Container-title:IEEE Transactions on Evolutionary Computation
  • language:
  • Short-container-title:IEEE Trans. Evol. Computat.

Author:

Ji Junkai1ORCID,Zhou Jin2,Yang Zhangfan2,Lin Qiuzhen2ORCID,Coello Carlos A. Coello3ORCID

Affiliation:

1. National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Department of Computer Science, CINVESTAV-IPN (Evolutionary Computation Group), México, MÉXICO

Funder

Shenzhen Science and Technology Program

National Natural Science Foundation of China

National Key Research and Development Program of China

CONACyT project

Project of the Guangdong Basic and Applied Basic Research Fund

Natural Science Foundation of Guangdong Province-Outstanding Youth Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

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