Artificial Bee Colony Optimization Algorithm For Engineering Application

Zakaria, Ainin Sofiya (2019) Artificial Bee Colony Optimization Algorithm For Engineering Application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project presents the optimization technique, the artificial bee colony (ABC), was investigated in the term of finding the best optimal locations [1]. The artificial bee colony (ABC) is a new optimization technique for simulating the honey bee swarms foraging behaviour. These algorithms technique are inspired from nature. This project also proposed their performances assessment on various benchmark functions to see their robustness. In ABC, there are a few control parameter so it easy to investigate their behaviour. In this project, the three analysis are conducted to investigate their performance using 10 benchmark functions. The analysis that have been analyze in this project are number of dimension, number of population and number of iteration. The result of analysis are presented in convergence plot. For the application, flexible manipulator system (FMS) is chosen as a testing platform. The model of FMS is designed in Simulink MATLAB using ABC algorithm in tuning the proportional--integral-derivative (PID), proportional-derivative (PD) and proportional-integral (PI) controller with error criteria to investigate their performance. The most suitable controller is choosing based on overshoot, rise time, settling time and steady state error.

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