This paper is published in Volume-7, Issue-4, 2021
Area
Bio Inspired Algorithms
Author
Sanchari Majumdar, Sangita Roy
Org/Univ
Narula Institute of Technology, Kolkata, West Bengal, India
Keywords
Evolutionary Computation, Global Optimization, Differential Evolution, Mutation Strategy, Adaptive Parameter Control
Citations
IEEE
Sanchari Majumdar, Sangita Roy. A State-of-the-Art Review on Differential Evolution (DE), International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanchari Majumdar, Sangita Roy (2021). A State-of-the-Art Review on Differential Evolution (DE). International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Sanchari Majumdar, Sangita Roy. "A State-of-the-Art Review on Differential Evolution (DE)." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Sanchari Majumdar, Sangita Roy. A State-of-the-Art Review on Differential Evolution (DE), International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanchari Majumdar, Sangita Roy (2021). A State-of-the-Art Review on Differential Evolution (DE). International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Sanchari Majumdar, Sangita Roy. "A State-of-the-Art Review on Differential Evolution (DE)." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Abstract
Proposing new mutation strategies and adjusting control parameters to improve the optimization performance of differential evolution (DE) are considered vital research studies. Therefore, in this paper, a short review of the most significant contributions on parameter adaptation and developed mutation strategies is presented.
