Monitoring of regions struck by earthquake using unmanned aerial systems based on new proposed GPO meta-heuristic technique

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HEIDARI ALI ASGHAR; ABBASPOUR RAHIM ALI

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Journal: ENVIRONMENTAL HAZARDS MANAGEMENT Year:2015 | Volume:2 | Issue:1 Page(s): 117-135

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Title

Monitoring of regions struck by earthquake using unmanned aerial systems based on new proposed GPO meta-heuristic technique

Author(s)

HEIDARI ALI ASGHAR | ABBASPOUR RAHIM ALI | Issue Writer Certificate

Keywords

colony algorithmQ2

differential evolutionQ2

evolutionary computingQ2

gravitational potential optimization algorithmQ2

particle swarm optimizationQ2

unmanned aerial systemsQ2

Abstract

Subsequent to earthquakes, an updated and reliable map of environment is not often available; terrestrial substructure is either not appointed or ruined and time is turned into a vital element for hazard management, search, and rescue of patients. Regarding these facts, hazard management and monitoring of areas struck by earthquake is one of noteworthy applications of autonomous systems, which can enhance the excellence of search-relief missions. Utilizing of unmanned aerial systems as multi-sensor platforms in destruction surveillance is transformed into a novel economic procedure for enhancing autonomy and efficiency of natural hazard management tasks. Nowadays, tendency in the development of unmanned aerial systems is toward autonomous navigation or hybrid tasks. In this field, development of comprehensive, efficient methodologies for path planning, control, navigation, and processing of UAS sensor information has attracted an increasing momentum among researchers as one of the fundamental steps for achieving autonomous navigation of aerial systems. In this article, a new meta-heuristic algorithm is proposed based on gravimetric measurements in physical geodesy studies. The purpose of this algorithm is to achieve an efficient method for solving complex optimization problems with different constraints such as hazards monitoring tasks. Evaluation of the precision, quality of results, success rates, and CPU running times of implemented algorithms demonstrates that gravitational potential optimization algorithm outperforms other methodologies for monitoring of regions struck by an earthquake.

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APA: Copy

HEIDARI, ALI ASGHAR, & ABBASPOUR, RAHIM ALI. (2015). Monitoring of regions struck by earthquake using unmanned aerial systems based on new proposed GPO meta-heuristic technique. ENVIRONMENTAL HAZARDS MANAGEMENT, 2(1 ), 117-135. SID. https://sid.ir/paper/265053/en

Vancouver: Copy

HEIDARI ALI ASGHAR, ABBASPOUR RAHIM ALI. Monitoring of regions struck by earthquake using unmanned aerial systems based on new proposed GPO meta-heuristic technique. ENVIRONMENTAL HAZARDS MANAGEMENT[Internet]. 2015;2(1 ):117-135. Available from: https://sid.ir/paper/265053/en

IEEE: Copy

ALI ASGHAR HEIDARI, and RAHIM ALI ABBASPOUR, “Monitoring of regions struck by earthquake using unmanned aerial systems based on new proposed GPO meta-heuristic technique,” ENVIRONMENTAL HAZARDS MANAGEMENT, vol. 2, no. 1 , pp. 117–135, 2015, [Online]. Available: https://sid.ir/paper/265053/en

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