A new mutation operator for real coded genetic algorithms
By Kusum Deep, Manoj Thakur. Applied Mathematics and Computation, 2007
401 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/32ea2f1966d220141f8a55849ebeeebee752915a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- C. Mohan
- Krishna Pratap Singh
- Mitthan Lal Kansal
- Syed Abbas
- Jai Prakash Tripathi
- Kusum Deep
- Manoj Thakur
- Vijay Kumar
In Computational Theory and Mathematics
- C. Mohan
- Krishna Pratap Singh
- Mitthan Lal Kansal
- Syed Abbas
- Jai Prakash Tripathi
- Kusum Deep
- Manoj Thakur
- Vijay Kumar
Citations in the corpus
- A review on genetic algorithm: past, present, and future (2020, background): “Deep and Thakur [39] presented a Laplace crossover for RGAs, which is based on Laplacian distribution.”
- Dynamical analysis of a prey–predator model with Beddington–DeAngelis type function response incorporating a prey refuge (2014, methodology): “Above optimization problem is solved using the genetic algorithm (LX– PM) [45,54,55] which is discussed in the previous section.”
- A real coded genetic algorithm for solving integer and mixed integer optimization problems (2009, methodology): “Hence, we have suitably modified and extended the recently developed real coded genetic algorithm, LXPM by Deep and Thakur [1,2], to handle integer restrictions on some or all decision variables.”