Vanita Garg

According to our database, Vanita Garg authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Sine-Cosine mutation strategy with Lorentz distribution for solving engineering design problems.

Mousumi Banerjee, Vanita Garg, Kusum Deep, Muhammed Basheer Jasser, Salah Kamel, Ali Wagdy Mohamed

Int. J. Syst. Assur. Eng. Manag., April, 2024

2023

Improved Teaching Learning Algorithm with Laplacian operator for solving nonlinear engineering optimization problems.

Vanita Garg, Kusum Deep, Sahil Bansal

Eng. Appl. Artif. Intell., 2023

2017

Constrained Laplacian biogeography-based optimization algorithm.

Vanita Garg, Kusum Deep

Int. J. Syst. Assur. Eng. Manag., 2017

2016

Performance of Laplacian Biogeography-Based Optimization Algorithm on CEC 2014 continuous optimization benchmarks and camera calibration problem.

Vanita Garg, Kusum Deep

Swarm Evol. Comput., 2016

Efficient Mutation Strategies Embedded in Laplacian-Biogeography-Based Optimization Algorithm for Unconstrained Function Minimization.

Vanita Garg, Kusum Deep

Int. J. Appl. Evol. Comput., 2016

Effectiveness of Constrained Laplacian Biogeography Based Optimization for Solving Structural Engineering Design Problems.

Vanita Garg, Kusum Deep

Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016

2015

Application of Laplacian Biogeography-Based Optimization: Optimal Extraction of Bioactive Compounds from Ashwgandha.

Vanita Garg, Kusum Deep

Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2015

Optimal Extraction of Bioactive Compounds from Gardenia Using Laplacian Biogoegraphy Based Optimization.

Vanita Garg, Kusum Deep

Proceedings of the Harmony Search Algorithm, 2015

2014

A State-of-the-Art Review of Biogeography-Based Optimization.

Vanita Garg, Kusum Deep

Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014