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A main concern in elevator group control system (EGCS) is quality of service in terms of average passenger waiting time. If no parking algorithm is applied, when an elevator enters an idle state, it remains at its current floor. An additional enhancement for the system can be using parking algorithms and sending idle elevators to park floors to reduce passenger waiting times. In elevator traffic, passengers are considered in three groups according to their travel intentions as incoming, inter-floor and outgoing passengers. Traffic components representing the ratios of these groups are major factors in determining traffic pattern. Overall passenger arrival probabilities can be described by weighted sum of incoming, inter-floor and outgoing arrival distributions with corresponding traffic components. Then, arrival probabilities can be used to obtain a general adaptive parking algorithm. In this study we propose a parking algorithm for EGCS based on arrival probabilities and investigate average waiting time under varying traffic conditions.

This study presents a new approach to improve the performance of FastSLAM. The aim of the study is to obtain a more robust algorithm for FastSLAM applications by using a Kalman filter that uses Stirling's polynomial interpolation formula. In this paper, some new improvements have been proposed; the first approach is the square

ÖZETÇELineer olmayan yüklerin kullanımının artmasıyla birlikte harmonik distorsiyonu güç kalitesinde önemli bir problem haline gelmiştir. Harmonik distorsiyonun olumsuz etkilerinin önlenmesi için harmoniklerin faz açıları ve genliklerin belirlenmesi gerekmektedir. Son yıllarda harmonik kestirimi için, geleneksel yöntemlere alternatif olarak hibrid evrimsel hesaplama algoritmaları önerilmiştir. Bu hibrid algoritmalarda, faz açıları bir evrimsel hesaplama yöntemi ile optimize edilmekte ve genlikler En Küçük Kareler Yöntemi(EKKY) ile hesaplanmaktadır. Bu çalışmada, harmonik kestirimi problemi için EKKY ile birlikte Farksal Evrim(FE)'i kullanan bir hibrid algoritma önerilmiştir. Önerilen algoritma benzetim çalışmalarında uygulanmış ve doğruluk -hesaplama hızı performansları, Pasif Kalıtımlı Parçacık Sürü Optimizasyonu'nu (PSOPC) kullanan hibrid algoritma ile karşılaştırılmıştır. Elde edilen sonuçlardan önerilen algoritmanın daha etkin olduğu görülmüştür. ABSTRACTWith the increasing use of nonlinear loads harmonic distortion has become an important problem in power quality. To prevent the adverse effects of harmonic distortion it is necessary to estimate the harmonics' phase angles and amplitudes. In the last years, as an alternative to the conventional methods hybrid evolutionary computation algorithms have been proposed for harmonic estimation. In these hybrid algorithms, phase angles are optimized by an evolutionary computation algorithm and amplitudes are calculated by Least Squares(LS) Method. In this study, for the harmonic estimation problem a hybrid algorithm which uses Differential Evolution along with LS Method is proposed. The proposed algorithm is applied in simulations and accuracy -computation time performances are compared with the hybrid algorithm which uses PSOPC. From the obtained results it is seen that the proposed algorithm is more efficient.

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