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# This article provides information on different optimization methods such as Sequential Quadratic Programming (SQP), Genetic Algorithm (GA), Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Hybrid Algorithm (HA). Optimization is a method of designing a system in such a manner that it falls into all limitations on design and satisfies all the design parameters provided. In this particular study, Matlab software is used to perform these optimization methods. It is very helpful software with wide range of applications. One of the such applications is optimization toolbox which is calledoptimtool. It contains readily written codes for different optimization tools. After conducting optimization on Golinski’s speed reducer with five various optimization method, the results are in kilograms for the weight optimization which are SQP = 2994.355 kg, GA = 2994.914 kg, SA = 2730.74 kg, HA = 2994.355 kg, and PSO = 2905.677. The figure below, which is thought graphically abstract, represents a result of all optimizations.

optimization, golinski’s speed reducer, design parameters, limitation
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Subjects Engineering, Mechanical Research Article Author: Cenker Aktemur Country: Turkey Author: Islam Gusseinov Publication Date : August 10, 2017
 Bibtex @research article { ijeat296348, journal = {International Journal of Energy Applications and Technologies}, issn = {}, eissn = {2548-060X}, address = {editor.ijeat@gmail.com}, publisher = {İlker ÖRS}, year = {2017}, volume = {4}, pages = {34 - 52}, doi = {}, title = {A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer}, key = {cite}, author = {Aktemur, Cenker and Gusseinov, Islam} } APA Aktemur, C , Gusseinov, I . (2017). A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer. International Journal of Energy Applications and Technologies , 4 (2) , 34-52 . Retrieved from https://dergipark.org.tr/en/pub/ijeat/issue/30402/296348 MLA Aktemur, C , Gusseinov, I . "A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer". International Journal of Energy Applications and Technologies 4 (2017 ): 34-52 Chicago Aktemur, C , Gusseinov, I . "A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer". International Journal of Energy Applications and Technologies 4 (2017 ): 34-52 RIS TY - JOUR T1 - A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer AU - Cenker Aktemur , Islam Gusseinov Y1 - 2017 PY - 2017 N1 - DO - T2 - International Journal of Energy Applications and Technologies JF - Journal JO - JOR SP - 34 EP - 52 VL - 4 IS - 2 SN - -2548-060X M3 - UR - Y2 - 2020 ER - EndNote %0 International Journal of Energy Applications and Technologies A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer %A Cenker Aktemur , Islam Gusseinov %T A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer %D 2017 %J International Journal of Energy Applications and Technologies %P -2548-060X %V 4 %N 2 %R %U ISNAD Aktemur, Cenker , Gusseinov, Islam . "A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer". International Journal of Energy Applications and Technologies 4 / 2 (August 2017): 34-52 . AMA Aktemur C , Gusseinov I . A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer. IJEAT. 2017; 4(2): 34-52. Vancouver Aktemur C , Gusseinov I . A Comparison of Sequential Quadratic Programming, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization and Hybrid Algorithm for the Design and Optimization of Golinski’s Speed Reducer. International Journal of Energy Applications and Technologies. 2017; 4(2): 52-34.