Optimum design of steel sway frames to BS5950 using harmony search algorithm
By Mehmet Polat Saka. 2009
191 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/a92a9dbe731802d374e95d4a1839c812af827ac6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Ali Kaveh
- Siamak Talatahari
- Mehmet Polat Saka
- Zong Woo Geem
- Sadik Ozgur Degertekin
- M. S. Hayalioglu
- Sancho Salcedo-Sanz
- Sergio Gil-Lopez
In Mechanics of Materials
- Siamak Talatahari
- Sadik Ozgur Degertekin
- M. S. Hayalioglu
- Ali Kaveh
- Zong Woo Geem
- Mehmet Polat Saka
- A. Alinia-ziazi
- B. Farshi
Citations in the corpus
- Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review (2013, methodology): “Saka [212] presented harmony search algorithm based discrete optimum design method for rigid steel frames.”
- Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases (2010, methodology): “A HS algorithm was proposed by Saka (2009) to perform minimum weight design of for planar steel frames.”
- A survey on applications of the harmony search algorithm (2013, background): “The problem presented in Saka (2009b) falls into discrete optimization problems in which finding the optimum feasible solution results in a difficult task.”
- A CHARGED SYSTEM SEARCH WITH A FLY TO BOUNDARY METHOD FOR DISCRETE OPTIMUM DESIGN OF TRUSS STRUCTURES (2010, background): “Many research results are available on optimum discrete design of structural problems utilizing different metaheuristic algorithms [2-18].”
- Size optimization of space trusses using Big Bang-Big Crunch algorithm (2009, methodology): “In the last decades, different natural evolutionary algorithms have been employed for structural optimization including Genetic Algorithms [1–15], Simulated Annealing algorithm [16–21], Ant Colony Optimization [22–29], Particle Swarm Optimizer [30–32] and Harmony Search [33–35].”