A hybrid PSO-GA algorithm for constrained optimization problems

By Harish Garg. Applied Mathematics and Computation, 2016

677 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/9d93e173d869863c3bb40aeca82958e25402cb31

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

1. Babak Jahani
2. Babak Mohammadi
3. Sanchita Basak
4. Saptarshi Sengupta
5. R. Peters

In Computational Theory and Mathematics

1. Babak Jahani
2. Babak Mohammadi
3. Sanchita Basak
4. Saptarshi Sengupta
5. R. Peters

In Numerical Analysis

1. Babak Jahani
2. Babak Mohammadi
3. Sanchita Basak
4. Saptarshi Sengupta
5. R. Peters

Citations in the corpus

• Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives (2018, methodology): “Garg [60] 2015 GA-PSO Constrained Optimization”
• A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran (2018, methodology): “This fact also highlights the fact that despite GA being relatively simple compared to other optimization algorithms (Garg 2016; Sgrò et al. 2018), it can be considered as a trustworthy and powerful tool for improving the accuracy and sustainability of the ordinary ANN models for estimation of…”