A new crossover operator for real coded genetic algorithms
By Kusum Deep, Manoj Thakur. Applied Mathematics and Computation, 2007
430 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/d813ba50bec837f94c8516a16bfe49de44a2e29a
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
- Harish Sharma
- Jagdish Chand Bansal
- Shimpi Singh Jadon
- Maurice Clerc
- Vijay Kumar
In Computational Theory and Mathematics
- C. Mohan
- Krishna Pratap Singh
- Mitthan Lal Kansal
- Harish Sharma
- Jagdish Chand Bansal
- Shimpi Singh Jadon
- Maurice Clerc
- Vijay Kumar
In Numerical Analysis
- Harish Sharma
- C. Mohan
- Krishna Pratap Singh
- Jagdish Chand Bansal
- Shimpi Singh Jadon
- Maurice Clerc
- Mitthan Lal Kansal
- Vijay Kumar
Citations in the corpus
- A real coded genetic algorithm for solving integer and mixed integer optimization problems (2009, methodology): “Laplace crossover is defined, in original form, in [1].”
- 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.”
- Spider Monkey Optimization algorithm for numerical optimization (2014, methodology): “To calculate the P I s, equal weights are assigned to two variables while weight of the remaining variable vary from 0 to 1 as given in [6].”