Vanita Garg

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparative study of JAYA algorithm with efficient mutation strategies for solving continuous optimization problems.
J. Comput. Appl. Math.
Vanita Garg, Hira Zaheer, Ghanshyam G. Tejani, Sunil Kumar Sharma
2025 J jnl
A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems.
Evol. Syst.
Rekha Rani, Vanita Garg, Sarika Jain, Harish Garg
2024 J jnl
Enhancing Sine-Cosine mutation strategy with Lorentz distribution for solving engineering design problems.
Int. J. Syst. Assur. Eng. Manag.
Mousumi Banerjee, Vanita Garg, Kusum Deep, Muhammed Basheer Jasser, Salah Kamel, Ali Wagdy Mohamed
2023 J jnl
Improved Teaching Learning Algorithm with Laplacian operator for solving nonlinear engineering optimization problems.
Eng. Appl. Artif. Intell.
Vanita Garg, Kusum Deep, Sahil Bansal
2017 J jnl
Constrained Laplacian biogeography-based optimization algorithm.
Int. J. Syst. Assur. Eng. Manag.
Vanita Garg, Kusum Deep
2016 — conf
Effectiveness of Constrained Laplacian Biogeography Based Optimization for Solving Structural Engineering Design Problems.
SocProS (2)
Vanita Garg, Kusum Deep
2016 J jnl
Efficient Mutation Strategies Embedded in Laplacian-Biogeography-Based Optimization Algorithm for Unconstrained Function Minimization.
Int. J. Appl. Evol. Comput.
Vanita Garg, Kusum Deep
2016 J jnl
Performance of Laplacian Biogeography-Based Optimization Algorithm on CEC 2014 continuous optimization benchmarks and camera calibration problem.
Swarm Evol. Comput.
Vanita Garg, Kusum Deep
2015 — conf
Application of Laplacian Biogeography-Based Optimization: Optimal Extraction of Bioactive Compounds from Ashwgandha.
SocProS (2)
Vanita Garg, Kusum Deep
2015 — conf
Optimal Extraction of Bioactive Compounds from Gardenia Using Laplacian Biogoegraphy Based Optimization.
ICHSA
Vanita Garg, Kusum Deep
2014 — conf
A State-of-the-Art Review of Biogeography-Based Optimization.
SocProS (2)
Vanita Garg, Kusum Deep