THE STATIC SECTORIZATION OF AIRSPACE VIA GENETIC ALGORITHM APPROACH
Rachid Kaidi, Karim El Moutaouakil, Ettaouil Mohamad · 2014
The sectorization of airspace has become one of the most important problems of operational research; saturation and non-optimality of this system are the main reasons behind a new sectorization. The objective of SAP is to minimize the workload coordination between adjacent sectors and the controller’s workload which is balanced among the sectors. The main purpose of this work is to suggest a new method to solve the SAP problem. The proposed method is divided into two steps: the first one involves modeling the SAP problem in terms of 0-1 quadratic programming model subject to linear constraints. The second one concern solving this model via the Genetic Algorithm approach. Finally, some experimental results are introduced .