A Multi-objective Approach to design Seismic Networks using a Genetic Algorithm
Josafath Israel Espinosa Ramos, Roberto Antonio Vázquez Espinoza de los Mon · Journal of Civil Engineering and Science · 2013
Most of the real world optimization problems are naturally multi-objective problems. In order to simplify the solution, many of them are modelled as mono-objective problems. The purpose of this research is to design a seismic network to maximize the warning time of a particular city; that is, the gap between the time when the alert is launched and the arrival time of the disaster, and minimizing the number of seismic stations in the network. To attack this multi-objective optimization problem, it is proposed to turn it into a mono-objective constrained problem and solve it with a simple genetic algorithm. As a case study, it was considered the region of the State of Guerrero, Mexico, where the seismic network could take place. The main disasters targeted in this paper are earthquakes, but this research can be extended easily to alert systems of tsunamis or volcanic eruptions, for the positioning of telecommunications antennas, etc. Keywords-Design of Seismic Sensor Networks; Optimization; Artificial Intelligence; Genetic Algorithms; Computer Application; Profitability