02107nmm a2200241 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002400109245014100133260003400274300004600308500005200354502011600406520112700522538002301649610006701672650004501739650001101784856007001795vtls000100021KUKTEM20251117113340.0170504s2016 my fq d 000 0 eng d aTHE0005140(Local) aUMP0 aZarifah Mohamad Nor10aEvalution of binary simulated Kalman filter and its application on airport gate schedulingh[electronic resource] /cZarifah Mohamad Nor aKuantan, Pahang :bUMP,c2016 a1 computer disc :bdigital data ;c12 cm. aFaculty of Electrical & Electronics Engineering aProject Paper (Bachelor of Electrical Engineering (Hons.) (Electronics)) -- Universiti Malaysia Pahang – 20163 aAirport 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. aItem in pdf format20aFaculty of Electrical & Electronics EngineeringxDissertations 0aUniversities and CollegesxDissertations 0aTheses40uhttp://ecollib.ump.edu.my/id/eprint/25768zAccess in library only