TY - JOUR
JF - IUST
JO -
VL - 13
IS - 1
PY - 2023
Y1 - 2023/1/01
TI - A SELF-ADAPTIVE ENHANCED VIBRATING PARTICLE SYSTEM ALGORITHM FOR CONTINUOUS OPTIMIZATION PROBLEMS
TT -
N2 - 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
SP - 127
EP - 142
AU - Paknahad, M.
AU - Hosseini, P.
AU - Kaveh, A.
AD -
KW - enhanced vibrating particle system
KW - self-adaptive algorithm
KW - SA-EVPS algorithm
KW - metaheuristic algorithms
KW - continuous optimization problems
UR - http://ijoce.iust.ac.ir/article-1-545-en.html
ER -