D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 5,120 204 World Ranking 10109 National Ranking 99

Overview

What is she best known for?

The fields of study Kusum Deep is best known for:

  • Mathematical optimization
  • Genetic algorithm
  • Metaheuristic

In her works, Kusum Deep undertakes multidisciplinary study on Algorithm and Genetic algorithm. She combines Genetic algorithm and Algorithm in her research. Kusum Deep undertakes multidisciplinary investigations into Mathematical optimization and Applied mathematics in her work. She conducts interdisciplinary study in the fields of Applied mathematics and Mathematical optimization through her works. Her Artificial intelligence study frequently involves adjacent topics like Crossover. The study of Crossover is intertwined with the study of Artificial intelligence in a number of ways. Kusum Deep connects Particle swarm optimization with Metaheuristic in her research. In her works, she conducts interdisciplinary research on Metaheuristic and Particle swarm optimization. Kusum Deep performs integrative study on Gene and Mutation.

Her most cited work include:

  • A real coded genetic algorithm for solving integer and mixed integer optimization problems (425 citations)
  • A new crossover operator for real coded genetic algorithms (279 citations)
  • A new mutation operator for real coded genetic algorithms (259 citations)

What are the main themes of her work throughout her whole career to date

Her research investigates the link between Genetic algorithm and topics such as Mathematical optimization that cross with problems in Particle swarm optimization and Metaheuristic. She brings together Particle swarm optimization and Mathematical optimization to produce work in her papers. With her scientific publications, her incorporates both Algorithm and Programming language. She connects Programming language with Algorithm in her study. Her Artificial intelligence study frequently links to other fields, such as Crossover. Her Crossover study typically links adjacent topics like Artificial intelligence. With her scientific publications, her incorporates both Gene and Biochemistry. Borrowing concepts from Gene, Kusum Deep weaves in ideas under Biochemistry. Her research brings together the fields of Benchmark (surveying) and Geodesy.

Kusum Deep most often published in these fields:

  • Mathematical optimization (75.58%)
  • Algorithm (59.30%)
  • Artificial intelligence (54.65%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A real coded genetic algorithm for solving integer and mixed integer optimization problems

Kusum Deep;Krishna Pratap Singh;M. L. Kansal;C. Mohan.
Applied Mathematics and Computation (2009)

745 Citations

A new crossover operator for real coded genetic algorithms

Kusum Deep;Manoj Thakur.
Applied Mathematics and Computation (2007)

468 Citations

A new mutation operator for real coded genetic algorithms

Kusum Deep;Manoj Thakur.
Applied Mathematics and Computation (2007)

419 Citations

A novel Random Walk Grey Wolf Optimizer

Shubham Gupta;Kusum Deep.
Swarm and evolutionary computation (2018)

235 Citations

A Modified Binary Particle Swarm Optimization for Knapsack Problems

Jagdish Chand Bansal;Kusum Deep.
Applied Mathematics and Computation (2012)

211 Citations

Optimal coordination of over-current relays using modified differential evolution algorithms

Radha Thangaraj;Millie Pant;Kusum Deep.
Engineering Applications of Artificial Intelligence (2010)

174 Citations

A hybrid self-adaptive sine cosine algorithm with opposition based learning

Shubham Gupta;Kusum Deep.
Expert Systems With Applications (2019)

150 Citations

Improved sine cosine algorithm with crossover scheme for global optimization

Shubham Gupta;Kusum Deep.
Knowledge Based Systems (2019)

114 Citations

Mean particle swarm optimisation for function optimisation

Kusum Deep;Jagdish Chand Bansal.
computational intelligence (2009)

110 Citations

Quadratic approximation based hybrid genetic algorithm for function optimization

Kusum Deep;Kedar Nath Das.
Applied Mathematics and Computation (2008)

100 Citations

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