T29492
انگلیسی
Comparison of The Honey Badger and Red Deer Algorithms in Optimization of Urban Path Planning
Dissertation
Nuha Mohammad kameil Alinizi
Electrical and Computer Engineering
1402
69p.
cd
M.S.
computer engineering- Software branch
1402/04/26
A road network is a large-scale system with large interdependent component numbers like traffic flows and lights, streets, and junctions. Present dependencies aspect deep comprehension among road network components can suggest the decision makers and various levels of essential support managers in the transportation sphere. In large-scale networks, basic concern refers to achieving entire present ways for every pair of origin-destination that is the issue of NP-hard. Because of complicated co-dependencies, individual cars' route selection optimization based on user equilibrium is hard. Here, the traffic assignment method based on evolutionary algorithms was offered. Here, the approximation algorithm is offered to achieve ways among origin-destination pairs in the requirement matrix. The Honey Badger algorithm (HBA( and Red Deer algorithm (RDA) are two new metaheuristic methods that can be used for route planning in urban transportation. This thesis compares these two algorithms' performances in a case study application of urban route planning in Tehran city. Results show the HBA method produces better results in terms of links' volume-to-capacity ratio. Therefore, this method not only generates lower trip times, but also prevents congestion/bottlenecks along the links.
فاقد چکیده فارسی است
مقایسه الگوریتم های گورکن عسل خوار و گوزن قرمز در بهینه سازی برنامه ریزی مسیر شهری
Route Assignment, Honey Badger Algorithm, Red Deer Algorithm, Urban Network, Meta-heuristic Algorithm.
فاقدکلیدواژه فارسی می باشد
Alinizi,
Nuha Mohammad kameil
Producer
Pashazade,
Feizi Derakhshi,
Saeid
Mohammad-Reza
Thesis advisor
Consulting advisor
Tabriz
ایران
Central Library of Tabriz University
20231030
ارشد پایاننامه QA76.I5 1402
Nuha Mohammad kameil Alinizi
عبادی
e
TL
276903
a
Y
