O
Omkar Kulkarni
Researcher at Massachusetts Institute of Technology
Publications - 8
Citations - 370
Omkar Kulkarni is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Metaheuristic & Penalty method. The author has an hindex of 6, co-authored 8 publications receiving 240 citations.
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Cuckoo Search Optimization- A Review
TL;DR: The cuckoos behaviour & their egg laying strategy in the nests of other host birds is explained and a proper strategy for tuning the cuckoo search parameters is defined.
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Genetic Algorithm and its Applications to Mechanical Engineering: A Review
Trupti Bhoskar,Omkar Kulkarni,Ninad Kulkarni,Sujata Patekar,Ganesh Kakandikar,Vilas M. Nandedkar +5 more
TL;DR: Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems.
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Particle Swarm Optimization Applications to Mechanical Engineering- A Review
Ninad Kulkarni,Sujata Patekar,Trupti Bhoskar,Omkar Kulkarni,Ganesh Kakandikar,Vilas M. Nandedkar +5 more
TL;DR: The applications of PSO include optimal weight design of a gear train, Simultaneous Optimization of Design and Machining Tolerances, Process Parameter Optimization in Casting, and Machine Scheduling Problem.
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Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design
TL;DR: In this paper, two constraint handling approaches for an emerging metaheuristic of Cohort Intelligence (CI) are proposed, i.e., CI with static penalty function approach (SCI) and CI with dynamic penalty function (DCI).
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Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
TL;DR: In this paper, the Grasshopper Optimization Algorithm (GOA) is used for solving the engineering optimization problems and the results obtained from algorithm show that the algorithm is able to give the accurate results.