#TITLE_ALTERNATIVE#

• Main Author: JULIANTO (NIM: 20912015) ; Dosen Pembimbing Dr. Kuntjoro Adji Sidarto, VERI
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/19617
• Institution: Institut Teknologi Bandung

Optimization is a process to maximizing or minimizing of the objective function to get optimimal condition. In the optimization with multiobjective is needed special technique to solve this problem. In this research, we intend to propose a new metaheuristic method, namely, the Bat Algorithm (BA), based on the echolocation behaviour of bats. The capability of echolocation of microbats is fascinating as these bats can find their prey and discriminate different types of insects even in complete darkness. In there, BA is extended to solve multiobjective optimization problem. The proposed multiobjective bat algorithm (MOBA) is first validated against a subset of test functions. <br /> <br /> <br /> <br /> <br /> <br /> In this research use the MOBA to find the pareto optimum of the model. These model are developed from activated sludge with extended aeration for optimization wastewater treatment plant. For optimum plant operation two different optimization problem are formulated and solved. The first optimization problem involves single-objective function to estimate kinetic parameters in activated sludge model using available plant data by minimizing the weight sum-of-square error between computed and plant value. The second optimization problem involve single, two, and three objective functions for efficient plant monitoring. In second category problem, objective functions are based on plant performance criteria (i.e., maximizing the influent flow rate of wastewater and minimizing the exit effluent concentration) and economic criteria (i.e., minimizing the plant operating cost).