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Bees algorithm hybrid with Hooke method

Azman, Muhammad Najmi (2017) Bees algorithm hybrid with Hooke method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Bees Algorithm is an optimization algorithm that mimic real nature honey bees food foraging behavior. Bees Algorithm has been widely used in various optimization problems that exist widely such as in computer science, engineering control, and mechanical design. Bees Algorithm also had been attracted and applied in many engineering fields for recent years. However, there is some significant weakness in Bees Algorithm. Bees Algorithm have slow convergence speed that is not consistent and depending on the optimization problems or test function. Therefore, new method so called Bees Algorithm hybrid with Hooke Method has been proposed in order to enhance the efficiency in term of convergence speed. The result from this new method will be compared with the original Bees Algorithm to prove the changes in both algorithm. Both algorithm are then subjected to various benchmark test functions and were tested by using different parameter settings. By using difference set of parameter settings, it might help to identify the best performance of the newly improved Bees Algorithm. In addition, all the result had been validated with Statistical Significant Test (T-Test). Refer to the result, parameter 1 and parameter 2 have the highest number of significant results based on T-test. The result obtained has proved that the performance of the new proposed method is significantly outperform the basic Bees Algorithm in terms of efficiency and convergence speed.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Engineering design, Artificial intelligence, Algorithms, Engineering mathematics
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKP
Depositing User: Nor Aini Md. Jali
Date Deposited: 10 Dec 2018 02:38
Last Modified: 14 Nov 2023 03:52
URI: http://digitalcollection.utem.edu.my/id/eprint/22184

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