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Full-Text Articles in Physical Sciences and Mathematics
Simulation Based Optimisation Of Ground Crews: Case Of A Regional Airport, Blaz Rodic, Alenka Baggia
Simulation Based Optimisation Of Ground Crews: Case Of A Regional Airport, Blaz Rodic, Alenka Baggia
UBT International Conference
Paper presents the simulation models built within an airport ground crew scheduling automatization project at a regional airport. Our goal was to develop robust ground crew task scheduling and shift generation algorithms that would improve on existing heuristic rules. We have utilized simulation modeling to develop and validate the algorithms, starting with a model of the existing scheduling process coded and visualized in spreadsheet software and ending with a hybrid Discrete Event and Agent Based model used for the visualization and verification of the optimized processes. Explicit and tacit expert knowledge was recorded through meetings with airport personnel managers and …
Concept Of Online Assisted Platform For Technologies And Management In Communications – Optimek, Galia Marinova, Vassil Guliashki, Ognyan Chikov
Concept Of Online Assisted Platform For Technologies And Management In Communications – Optimek, Galia Marinova, Vassil Guliashki, Ognyan Chikov
UBT International Conference
The paper describes the concept of a Multimodular Multydisciplinary platform, contacting through unified templates in a Portal with knowledge, with Useful INTERNET resources, in order to provide advanced research and education. Usually the online resources available are mainly in the area of e- and distance education, but still an understanding is missing for the scale and the use of studying and the systematization of the online resource. The new concept has an accent of the useful INTERNET resource and the development of a System of nets to it, in the aim of solving tasks and generating new knowledge in the …
Swarm Intelligence As An Optimization Technique, Alma Bregaj
Swarm Intelligence As An Optimization Technique, Alma Bregaj
UBT International Conference
Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarm-based optimisation algorithms and I have presented some examples of real practical applications of these algorithms.