The aim of this article is to examine and compare swarm optimization methods in the task of planning indoor wireless networks (WLAN).
For this purpose, in the process of searching for the extremum of the criterion function, which is an optimization indicator, six swarm algorithms were used: artificial bees colony, bat, bee, cuckoo, firefly, particle swarm (bird).
In engineering design, optimization methods are frequently used to improve the initial design of a product. However, the selection of an appropriate method is challenging since many methods exist, especially for the case of simulation-based optimization. This paper proposes a systematic procedure to support this selection process. Building upon quality function deployment, end-user and design use case requirements can be systematically taken into account via a decision matrix. The design and construction of the decision matrix are explained in detail. The proposed procedure is validated by two engineering optimization problems arising within the design of box-type boom cranes. For each problem, the problem statement and the respectively applied optimization methods are explained in detail. The results obtained by optimization validate the use of optimization approaches within the design process. The application of the decision matrix shows the successful incorporation of customer requirements to the algorithm selection.
Optimization methods for minimum power multicasting in wireless networks with sectored antennas
