NATIONAL BIBLIOGRAPHY NUMBER
Number
T29492
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Comparison of The Honey Badger and Red Deer Algorithms in Optimization of Urban Path Planning
General Material Designation
Dissertation
First Statement of Responsibility
Nuha Mohammad kameil Alinizi
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Electrical and Computer Engineering
Date of Publication, Distribution, etc.
1402
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
69p.
Other Physical Details
cd
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Discipline of degree
computer engineering- Software branch
Date of degree
1402/04/26
SUMMARY OR ABSTRACT
Text of Note
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.
Text of Note
فاقد چکیده فارسی است
OTHER VARIANT TITLES
Variant Title
مقایسه الگوریتم های گورکن عسل خوار و گوزن قرمز در بهینه سازی برنامه ریزی مسیر شهری
UNCONTROLLED SUBJECT TERMS
Subject Term
Route Assignment, Honey Badger Algorithm, Red Deer Algorithm, Urban Network, Meta-heuristic Algorithm.
Subject Term
فاقدکلیدواژه فارسی می باشد
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Alinizi,
Part of Name Other than Entry Element
Nuha Mohammad kameil
Relator Code
Producer
PERSONAL NAME - SECONDARY RESPONSIBILITY
Entry Element
Pashazade,
Entry Element
Feizi Derakhshi,
Part of Name Other than Entry Element
Saeid
Part of Name Other than Entry Element
Mohammad-Reza
Relator Code
Thesis advisor
Relator Code
Consulting advisor
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Entry Element
Tabriz
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of Tabriz University
Date of Transaction
20231030
LOCATION AND CALL NUMBER
Call Number
ارشد پایاننامه QA76.I5 1402
ELECTRONIC LOCATION AND ACCESS
Electronic name
Nuha Mohammad kameil Alinizi
Contact for access assistance
عبادی
e
TL
276903
a
Y
