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  1. Deepak Sharma. Associate Professor Department of Mechanical Engineering Indian Institute of Technology Guwahati. Associate Faculty, School of Business

    • Education

      Ph.D. Department of Mechanical Engineering, Indian Institute...

    • Awards & Honor

      Best Paper Presentation Award . Shashi Kant Ratnakar et al....

    • Publications

      Deepak Sharma, Sukhomay Pal, Aayush Sahay, Puneet Kumar,...

    • Source Codes

      Deepak Sharma, Syed Zaheer Basha and Sandula Ajay Kumar,...

    • Projects

      START-UP Research Grant Scheme, Indian Institute of...

    • Activities

      "Introduction to Genetic Algorithms", TEQIP short term...

    • Teaching

      Department of Mechanical Engineering Indian Institute of...

    • Mechanical Department

      An approximate single-loop chaos control method for...

  2. Deepak Sharma Associate Professor. 91 361 2582661 dsharma @ iitg ⋅ ac ⋅ in Research Interest: OPTIMIZATION AND SOFT COMPUTING TECHNIQUES FOR DESIGN AND MANUFACTURING | Personal Website | Vidwan Profile. Department/Centre/School

  3. An approximate single-loop chaos control method for reliability based design optimization using conjugate gradient search directions.

  4. Associate Professor, Mechanical Engineering and Associate Faculty, School of Business · Optimization and Soft Computing Techniques for Design and Manufacturing · Experience: Indian Institute of...

    • 500+
    • Indian Institute of Technology, Guwahati
    • 1.9K
    • Guwahati, Assam, India
  5. Deepak SHARMA, Professor (Associate) | Cited by 648 | of Indian Institute of Technology Guwahati, Guwahati (IIT Guwahati) | Read 64 publications | Contact Deepak SHARMA

  6. Articles 1–20. ‪Associate Professor‬ - ‪‪Cited by 782‬‬ - ‪Optimization‬ - ‪Digital Twin in Design and Manufacturing‬ - ‪Generative Design‬ - ‪Topology Optimization‬.

  7. Evolutionary Computation for Single and Multi-Objective Optimization. By Prof. Deepak Sharma | IIT Guwahati. Learners enrolled: 466. Evolutionary computation (EC) is a sub-field of computational intelligence that use ideas and get inspiration from natural evolution.