Prakash Kotecha

According to our database, Prakash Kotecha authored at least 17 papers between 2015 and 2023.

Collaborative distances:

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

2023

An effective strategy for solving single and multi-unit production planning models with unique process constraints using metaheuristic techniques.

Remya Kommadath, Debasis Maharana, Prakash Kotecha

Expert Syst. Appl., August, 2023

A metaheuristic-based efficient strategy for multi-unit production planning with unique process constraints.

Remya Kommadath, Debasis Maharana, Prakash Kotecha

Appl. Soft Comput., February, 2023

2022

Parallel computing strategies for Sanitized Teaching Learning Based Optimization.

Remya Kommadath, Debasis Maharana, Chinta Sivadurgaprasad, Prakash Kotecha

J. Comput. Sci., 2022

A Multi-Objective approach to the Electric Vehicle Routing Problem.

Kousik Rajesh, Eklavya Jain, Prakash Kotecha

CoRR, 2022

2018

A novel strategy for the combinatorial production planning problem using integer variables and performance evaluation of recent optimization algorithms.

Sandeep Singh Chauhan, Chinta Sivadurgaprasad, Rajasekhar Kadambur, Prakash Kotecha

Swarm Evol. Comput., 2018

An efficient multi-unit production planning strategy based on continuous variables.

Sandeep Singh Chauhan, Prakash Kotecha

Appl. Soft Comput., 2018

2017

Dynamic Yin-Yang Pair Optimization and its performance on single objective real parameter problems of CEC 2017.

Debasis Maharana, Remya Kommadath, Prakash Kotecha

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Teaching Learning Based Optimization with focused learning and its performance on CEC2017 functions.

Remya Kommadath, Prakash Kotecha

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

A note on multi-objective improved teaching-learning based optimization algorithm (MO-ITLBO).

Chinta Sivadurgaprasad, Remya Kommadath, Prakash Kotecha

Inf. Sci., 2016

Yin-Yang-pair Optimization: A novel lightweight optimization algorithm.

Varun Punnathanam, Prakash Kotecha

Eng. Appl. Artif. Intell., 2016

Optimal production planning in a petrochemical industry using multiple levels.

Rajasekhar Kadambur, Prakash Kotecha

Comput. Ind. Eng., 2016

Extension and performance evaluation of recent optimization techniques on mixed integer optimization problems.

Varun Punnathanam, Remya Kommadath, Prakash Kotecha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Reduced Yin-Yang-Pair optimization and its performance on the CEC 2016 expensive case.

Varun Punnathanam, Prakash Kotecha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Simultaneous heat transfer search for computationally expensive numerical optimization.

Debasis Maharana, Prakash Kotecha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Single phase multi-group teaching learning algorithm for computationally expensive numerical optimization (CEC 2016).

Remya Kommadath, Chinta Sivadurgaprasad, Prakash Kotecha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Single phase multi-group teaching learning algorithm for single objective real-parameter numerical optimization (CEC2016).

Remya Kommadath, Chinta Sivadurgaprasad, Prakash Kotecha

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Multi-level production planning in a petrochemical industry using elitist Teaching-Learning-Based-Optimization.

Rajasekhar Kadambur, Prakash Kotecha

Expert Syst. Appl., 2015