#TITLE_ALTERNATIVE#

• Main Author: RODIAH , IIS
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/18676
• Institution: Institut Teknologi Bandung

Artificial Bee Colony algorithm is a metaheuristic optimization method based on the intelligent foraging behaviour of honey bee swarm. There is a connection between solving non linear equations system with determine global minimum value problem, therefore Artificial Bee Colony algorithm was applied to find roots of non linear equations system. Yet not for every single of non linear equations system could be solved by this algorithm. Artificial Bee Colony algorithm is often difficult to converge toward the actual root value. The convergences of other commonly known method to solve non linear equations system such as Newton method are more guaranted but in the other hand are highly sensitive to the initial guess of the solution. However, it is very difficult to select good initial solutions. An alternative way to solve all those problems is to use solutions from Artificial Bee Colony algorithm as initial solution for Newton method to upgrade solutions accuracy. <br /> One example in real case of finding roots problem is the problems in pipeline distribution of water. The problem is in head and flow rate distribution. In this final project, a mathematic model was built to describe the problem. One of important physic equation to built the model was energy loss by friction factor (headloss) equation. Artificial Bee Colony algorithm application used to solve the model. A hybrid method between Artificial Bee Colony algorithm and Newton method was also used for mathematic models which could not be solved by Artificial Bee Colony algorithm alone. Solutions were nodal head distribution at each node. Then headloss value, direction of flow and flow rate at each pipe could be obtained from those solutions.