Kusum Deep

Artificial Intelligence · 2007–2023

A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 149 citations into it; #13,520 of 35,345 by trust here, #20,836 by citations
• Computational Theory and Mathematics — 108 citations into it; #4,041 of 12,182 by trust here, #6,463 by citations
• Industrial and Manufacturing Engineering — 15 citations into it
• Biomedical Engineering — 13 citations into it
• Molecular Biology — 11 citations into it
• Numerical Analysis — 9 citations into it; #1,797 of 3,586 by trust here, #2,430 by citations
• Computer Vision and Pattern Recognition — 8 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Kusum Deep trusts overall

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

1. Kalyanmoy Deb
2. Xin-She Yang
3. John H. Holland
4. Carlos Artemio Coello Coello
5. Seyedali Mirjalili
6. David E. Goldberg
7. Efrén Mezura-Montes
8. Amir H. Gandomi
9. James Kennedy
10. Manoj Thakur

Who trusts Kusum Deep overall

1. Jai Prakash Tripathi
2. Jagdish Chand Bansal
3. Krishna Pratap Singh
4. Mitthan Lal Kansal
5. Syed Abbas
6. Harish Sharma
7. C. Mohan
8. Manoj Thakur
9. Shimpi Singh Jadon

Papers from Kusum Deep's perspective

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

1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
2. Genetic Algorithms in Search
3. Genetic Algorithms in Search Optimization and Machine Learning
4. A fast and elitist multiobjective genetic algorithm: NSGA-II
5. An Efficient Constraint Handling Method for Genetic Algorithms
6. A new optimizer using particle swarm theory
7. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
8. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
9. Genetic Algorithms + Data Structures = Evolution Programs
10. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

Their papers

• A new crossover operator for real coded genetic algorithms (2007) — 430 citations
• A new mutation operator for real coded genetic algorithms (2007) — 401 citations
• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023) — 567 citations
• A novel Random Walk Grey Wolf Optimizer (2019) — 389 citations
• A real coded genetic algorithm for solving integer and mixed integer optimization problems (2009) — 711 citations