02443nmm a2200301 a 4500 vtls000100021 KUKTEM 20251117113340.0 170504s2016 my fq d 000 0 eng d THE0005140(Local) 201905131614 hanafiah 201712261118 nazri 201705151618 nazri 201705051055 nazri 201705041231 nazri UMP FKEE .Z37 2016 r Bc. CD 10719 Zarifah Mohamad Nor Evalution of binary simulated Kalman filter and its application on airport gate scheduling [electronic resource] / Zarifah Mohamad Nor Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Electrical & Electronics Engineering Project Paper (Bachelor of Electrical Engineering (Hons.) (Electronics)) -- Universiti Malaysia Pahang – 2016 Airport gate allocation problem referred to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates becomes very complex nowadays, especially for a big size airport. SKF is an optimization that has been introduced recently. This algorithm is based on mechanism of Kalman Filter where every agent estimates the global minimum/maximum. SKF can only solve continuous numerical optimization problem. From this algorithm, enhancement and modification of SKF is introduced. Exploitation of the distance between an agent and the best agent let the SKF operates in binary search space. In this study, the airport gate allocation problem is solved using extended version of Simulated Kalman Filter algorithm called Binary Simulated Kalman Filter (BSKF).The main objective of this study is to minimize the total walking distance of passengers either from a gate to entrance/exit or gate to a gate. So, a small case study in an airport with 40 flights, 14 numbers of planes and 16 gates has been chosen and for evaluate BSKF, fix parameter of run, iteration and number of agents was set up. Item in pdf format Faculty of Electrical & Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25768 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKEE .Z37 2016 r Bc. | CD 10719 0000117735 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7173 7179 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5200*5380*6100*6500*6501*8560*9992