International Journal of Optimization in Civil Engineering
عنوان نشریه
Iran University of Science & Technology
Engineering & Technology
http://ijoce.iust.ac.ir
18
agent2
2228-7558
doi
en
jalali
1401
10
1
gregorian
2023
1
1
13
1
online
1
fulltext
en
A SELF-ADAPTIVE ENHANCED VIBRATING PARTICLE SYSTEM ALGORITHM FOR CONTINUOUS OPTIMIZATION PROBLEMS
Optimal design
Optimal design
پژوهشي
Research
<span style="font-size:11.5pt"><span style="font-family:"Times New Roman","serif"">Optimization methods are essential in today's world. Several types of optimization methods exist, and deterministic methods cannot solve some problems, so approximate optimization methods are used. The use of approximate optimization methods is therefore widespread. One of the metaheuristic algorithms for optimization, the EVPS algorithm has been successfully applied to engineering problems, particularly structural engineering problems. As this algorithm requires experimental parameters, this research presents a method for determining these parameters for each problem and a self-adaptive algorithm called the SA-EVPS algorithm. In this study, the SA-EVPS algorithm is compared with the EVPS algorithm using the 72-bar spatial truss structure and three classical benchmarked functions</span></span><br>
enhanced vibrating particle system, self-adaptive algorithm, SA-EVPS algorithm, metaheuristic algorithms, continuous optimization problems
127
142
http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-366&slc_lang=en&sid=1
M.
Paknahad
`180031947532846001964`

180031947532846001964
No
P.
Hosseini
`180031947532846001965`

180031947532846001965
Yes
A.
Kaveh
`180031947532846001966`

180031947532846001966
No