RT - Journal Article
T1 - A SELF-ADAPTIVE ENHANCED VIBRATING PARTICLE SYSTEM ALGORITHM FOR CONTINUOUS OPTIMIZATION PROBLEMS
JF - IUST
YR - 2023
JO - IUST
VO - 13
IS - 1
UR - http://ijoce.iust.ac.ir/article-1-545-en.html
SP - 127
EP - 142
K1 - enhanced vibrating particle system
K1 - self-adaptive algorithm
K1 - SA-EVPS algorithm
K1 - metaheuristic algorithms
K1 - continuous optimization problems
AB - 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
LA eng
UL http://ijoce.iust.ac.ir/article-1-545-en.html
M3
ER -