Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Author:

Khan Osama1,Khan Mohd Zaheen2,Alam Md Toufique3,Ullah Amaan3,Abbas Mohamed45,Saleel C. Ahamed6,Shaik Saboor7ORCID,Afzal Asif89ORCID

Affiliation:

1. Department of Mechanical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia, New Delhi110025, India

2. Department of Mechanical Engineering, Institute of Engineering & Technology, Lucknow226021, India

3. Department of Mechanical Engineering, Al-Falah University, Faridabad121004, Haryana, India

4. Electrical Engineering Department, College of Engineering, King Khalid University, Abha61421, Saudi Arabia

5. Electronics and Communications Department, College of Engineering, Delta University for Science and Technology, Gamasa35712, Egypt

6. Department of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha61421, Saudi Arabia

7. School of Mechanical Engineering, Vellore Institute of Technology, Vellore632014, Tamil Nadu, India

8. Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru574153, India

9. University Centre for Research & Development, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali140413, Punjab, India

Funder

King Khalid University

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

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