* Corresponding author: I. Musirin, Power System Operation Computationan Intelligence Research Group (POSC), Universiti Teknologi MARA, Malaysia E-mail: ismailbm1@gmail.com Faculty of Electrical Engineering, Universiti Teknologi MARA, Malaysia Copyright © JES 2016 on-line : journal/esrgroups.org/jes Nur Zahirah Mohd Ali, Ismail Musirin * , Saiful Izwan Suliman, Ngah Ramzi Hamzah, Zuhaina Zakaria       Regular paper                                                        !               "       # #$% ## &  &    & ’ &’  ( )* ()  ’ $ )* ’)          $ "   & ( & ’ &(&’  !       &(&’ * "   *  " $        *    &&& +,- . / $           Keywords: Artificial intelligence; Adaptive Embedded Clonal Evolutionary Programming; loss minimization. Article history: Received 6 December 2015, Accepted 10 February 2016 1. Introduction One of the power distribution system activities is contrived with the power distribution arrangement to address the growing demand for electrical power is increasing from year to year. Among these plans is to furnish a dependable and low cost to the consumer while ensuring power quality and potential drop are within the standard scope. To achieve this plan, the strengthening of existing lines and substations, or make a new installation should be carried out. Today, distributed generation is becoming the choice of new capacity has arisen in the system operating environment over economic power. The importance of distributed generation power systems is an advantage in terms of technical, economic and operational characteristics change [1]. However, the penetration of renewable energy-based distributed generation in power distribution will be increased in the hereafter by a variety of factors. Models of distributed generation such as wind and solar energy can affect voltage regulation in power distribution organizations. To overcome this problem, the location and size of distributed generation are essential before any installation is carried out [2]. Therefore, how to comprehensively analyze the impacts of the different types of distributed generators on the distribution system reliability is a critical issue to be addressed [3]. There has been an increased interest in installing distributed generation of the distribution systems due to considerable advantages such as power loss reduction, cost reduction, environmental friendliness, voltage improvement, postponement of system upgrades and increasing reliability. To achieve one of these advantages, Abu-Mouti and El- Hawary [4] finds the optimal location and size of the DG to minimise the total system power loss for radial distribution feeder systems. For this reason, different methodologies and tools have been developed and discussed by many researchers to identify the optimal place and sizing to install DG. These methodologies are based on analytical and AI optimization techniques. Lee and Park, [5] proposed the method for selecting the optimal locations and sizes of multiple distributed generations (DGs). In this study, a method to