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Present days, Power System operates in a stressed condition due to reactive power shortage. Hence, this research involves development of an adaptive mutation algorithm based multi-objective for Optimal Reactive Power Dispatch (ORPD) in a power system in order to minimize the total loss and the improved voltage stability simultaneously. The performance of a Multi-Objective Evolutionary Programming (MOEP) is significantly dependent on the parameter setting of the operator. These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. The intention of this paper is to create adaptive controls for each parameter existing in MOEP where it is able to improve even more the performance of the evolutionary programming. Hence, in this paper, an adaptive mutation operator based multi-objective evolutionary programming is presented. A computer program was written in MATLAB. At the end, the result was compared with the Polynomial Mutation Operator.

Pensyarah FKEE UMP Kongsi Kepakaran Dalam Pengaturcaraan dan Pembinaan Lego Mindstrom

Pekan 23 Februari - Fakulti Kejuruteraan Elektrik dan Elektronik (FKEE) Universiti Malaysia Pahang (UMP) dengan kerjasama Pejabat Pendidikan Daerah Pekan (PPD) menganjurkan Bengkel Traning of Trainers (TOT), Pekan baru-baru ini.

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Innovate 2017 - the STEM EcoSystem

UMP Pekan 14 July - As the Pahang State Level host for this year’s championship, we welcome you to the 2017 Young Innovate Malaysia Competition. YI 2017 provides a highly competitive platform for academicians, teachers, industries and most importantly the future generation - our school children.

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On 17th May 2017, 20 of the faculty staffs were involved in “Santai Sains Bersama FKEE”: a STEM outreach program at Sek. Keb. Sri Maulana in Pekan, Pahang. This is.

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Program GTEX ENHANCING GRADUATE SKILLS TOWARDS EMPLOYABILITY ini merupakan program persedian kepada pelajar universiti tahun akhir yang bakal melalui alam pekerjaan.

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