Multi-operator Differential Evolution with MOEA/D for Solving Multi-objective Optimization Problems | Zendy

Sakshi Aggarwal | Zendy; K. K. Mishra | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multi-operator Differential Evolution with MOEA/D for Solving Multi-objective Optimization Problems

Author(s) -

Sakshi Aggarwal,

K. K. Mishra

Publication year - 2022

Publication title -

journal of telecommunications and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.151

H-Index - 12

eISSN - 1899-8852

pISSN - 1509-4553

DOI - 10.26636/jtit.2022.161822

Subject(s) - evolutionary algorithm , mathematical optimization , convergence (economics) , operator (biology) , differential evolution , computer science , position (finance) , ideal (ethics) , population , cluster analysis , core (optical fiber) , mutation , preference , space (punctuation) , mathematics , artificial intelligence , philosophy , repressor , economic growth , chemistry , sociology , operating system , telecommunications , biochemistry , epistemology , transcription factor , statistics , demography , finance , economics , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research