Wali Khan MASHWANİ Prof. Dr. Kohat University of Science & Technology
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Research Fields

Mathematics and Science

Bio

Prof.Dr. Wali Khan Mashwani
Professor of Mathematics

Dean, Faculty of Physical and Numerical Sciences,

Director Institute of Numerical Sciences

Kohat University of Science & Technology (KUST),
Kohat, 26000, Khyber Pakhtun Khwa (KPK),Pakistan.

Skype Name: live:.cid.cd1ba906de1be40a
https://orcid.org/0000-0002-5081-741X
E-mail: mashwanigr8@gmail.com
Cell #: +923469335809 & 03329373607.
Office #: +9292252914648
Home #: +92915824428.
Fax #: +92922554556.
WhatsApp: +923329373607

About Me:
I was born in a small village Alamgunj of district Mardan, KPK, Pakistan. I received my earlier education in the same district. Later I did my master's in Mathematics from the University of Peshawar in the years 1995-1996. I started my carrier by teaching at colleges in Mardan for seven years. Then I moved to Kohat in 2003 and joined Kohat University of Science and Technology as Lecturer in Mathematics. I had an opportunity to move to the UK and did research in the area of Multi-objective optimizations using Evolutionary algorithms. I received my Ph.D. from the University of Essex, the UK in 2008-2011. I returned to Pakistan in 2012 and joined Kohat University of Science and Technology (KUST) as Assistant Professor in Mathematics.
My Research in a Nutshell:
My main interest lies in the development of a faster and more efficient multi-objective evolutionary algorithm (MOEA) for solving multi-objective optimization problems. The goal of MOEA is to find the Pareto optimal solutions using the concepts of Pareto optimality. Hybrid MOEAs are exhibiting substantially improved performance than standalone MOEAs on different test suite problems and real-world problems. MOEA Based on Decomposition (MOEA/D) is a generic algorithm framework. It decomposes MOPs at hand into a number of different single objective optimization and then uses an evolutionary algorithm (EA) to optimize these sub-problems simultaneously.
I focus particular attention on developing Hybrid MOEA/D by using different techniques in its framework in an adaptive manner. Algorithms of such types are currently under investigation. I have worked under the supervision of Professor Qingfu Zhang, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK. My subsidiary research interests include Evolutionary Computation, Single and Multi-objective Evolutionary Optimization, MOEA/D, Neural networks, Game Theory, Numerical Analysis, and Mathematical Programming.I have published more than 100  papers in SCI and ESCI, Scopus Journals, and different peer review conference proceedings and book chapters.

Institution

Kohat University of Science & Technology

Publications

Implementation of improved grasshopper optimization algorithm to solve economic load dispatch problems
Authors: Muhammad SULAİMAN , Masihullah MASİHULLAH, Zubair HUSSAİN, Sohail AHMAD, Wali Khan MASHWANİ , Muhammad Asif JAN, Rashida Adeeb KHANUM
DOI: 10.15672/hujms.507579
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Hybrid Constrained Evolutionary Algorithm for Numerical Optimization Problems
Authors: Wali Khan MASHWANİ , Alam ZAİB, Özgür YENİAY, Habib SHAH, Naseer Mansoor TAİRAN, Muhammad SULAİMAN
DOI: -
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Solving large scale systems of linear equations with a stabilized Lanczos-type algorithms running on a cloud computing platform
Authors: M. MAHARANİ, A. SALHİ, W.k. MASHWANİ , Ozgur YENİAY, N. LARASATİ, Triyani TRİYANİ
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Hybrid genetic algorithms for global optimization problems
Authors: Muhammad ASİM, Wali Mashwani KHAN , Özgür YENİAY, Muhammad Asif JAN, Nasser TAİRAN, H. HUSSİAN, Gai-ge WANG
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