Vimal J. Savsani

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #7,743 of 35,345 by trust here, #6,103 by citations
• Computational Theory and Mathematics — 35 citations into it; #1,846 of 12,182 by trust here, #641 by citations
• Civil and Structural Engineering — 8 citations into it

Whom Vimal J. Savsani trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Venkata Rao
2. Dervis Karaboga
3. Kalyanmoy Deb
4. Bahriye Akay
5. Ponnuthurai Nagaratnam Suganthan
6. John H. Holland
7. Zong Woo Geem
8. D. Vakharia
9. Thomas Philip Runarsson
10. Bin Xu

Who trusts Vimal J. Savsani overall

1. R. Venkata Rao
2. Tansel Dökeroğlu
3. Tayfun Dede
4. Vivek K. Patel
5. Ghanshyam G. Tejani
6. Pavel Trojovský
7. Seyedali Mirjalili
8. Laith Mohammad Abualigah
9. Mohammad Dehghani
10. Iman Ahmadianfar

Papers from Vimal J. Savsani's perspective

Ordered by how strongly the researchers Vimal J. Savsani trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stochastic ranking for constrained evolutionary optimization (IEEE Transactions on Evolutionary Computation)
2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
3. Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites (International Conference on Evolutionary Computation)
4. A simple multimembered evolution strategy to solve constrained optimization problems (IEEE Transactions on Evolutionary Computation)
5. Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
6. Search biases in constrained evolutionary optimization (IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews))
7. Multiobjective evolutionary algorithms: A survey of the state of the art (Swarm and Evolutionary Computation)
8. Ensemble of Constraint Handling Techniques (IEEE Transactions on Evolutionary Computation)
9. Real-parameter optimization with differential evolution (IEEE Congress on Evolutionary Computation)
10. Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art (Swarm and Evolutionary Computation)

Their papers

• Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems (2011) — 4,674 citations
• Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems (2012) — 1,696 citations
• Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems (2012) — 325 citations
• Truss topology optimization with static and dynamic constraints using modified subpopulation teaching–learning-based optimization (2016) — 70 citations
• Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms (2010) — 218 citations