Comparison of Two Metaheuristic Algorithms on Sizing and Topology Optimization of Trusses and Mathematical Functions

Yıl 2018, Cilt: 31 Sayı: 2, 416 - 435, 01.06.2018

Ali Mortazavi Vedat Toğan Ayhan Nuhoğlu

Öz

Optimum
solution of an anticipated problem is generally reached through minimizing or
maximizing a governing real function while sometimes should satisfy various predefined
limitations. Selecting an algorithm as a main optimizer plays a key role on the
solution process. In this respect, current study intends to compare the
performances of two different common metaheuristic optimization algorithms as
integrated particle swarm optimizer (iPSO) and teaching and learning based optimizer
(TLBO). The TLBO is two-phase algorithm while the iPSO is a single-phase
algorithm. Their capabilities are compared over some benchmark cases including
mathematical functions and structural optimization problems. To increase the
complexity of the test problems both size and topology specifications of the
structural systems are simultaneously taken as the decision variables. Achieved
results demonstrate the superiority of the iPSO in comparison with TLBO in both
search capability and convergence rate.

Anahtar Kelimeler

size and topology optimization, particle swarm optimization, teaching learning based optimization

Kaynakça

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