Improved gravitational search algorithm
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Abstract (EN)
Optimization techniques are used to solve many engineering problems. Recently, in addition to the classical optimization methods, heuristic optimization methods have been developed to find the best, the optimum, result under the given conditions. Gravitational search algorithm (GSA) is one of the heuristic optimization methods.Within the scope of this thesis, it is aimed to develope GSA based optimization algorithms which are more effective, more efficient and faster. For this purpose, mass spring system (MSS) method that is widely used in deformation of the objects is investigated and integrated to GSA. In addition, GSA method is modified to make more surface scan. Developed algorithms are tested and the results are compared with GSA. As a results of the tests, it has been observed that the algorithms give more effective and more efficient results but run more slowly.Keywords Optimization, GSA, MSS-GSA, Member-Satellite Algorithm
Author
Nihan Kazak
Institution
How to Cite
Nihan Kazak (Master Thesis). Improved gravitational search algorithm, 2011, Bilecik Şeyh Edebali Üniversity.
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