OPTIMASI MODEL MULTIOBJEKTIF MENGGUNAKAN GABUNGAN ALGORITMA KELELAWAR DENGAN DIFFERENTIAL EVOLUTION (DE) DAN LEVY FLIGHT TRAJECTORY

Abstract

Optimization is a process to maximize or minimize a particular problem in order to obtain optimal conditions.
The optimization problem has various model functions. There are linear, non-linear, multi modal, multiobjektif and
others. In everyday reality there are many muliobjective problems, in which there is more than one model function that
must be executed simultaneously in a multi-objective model to optimize one function again. This results in difficulties in
optimizing it. In this research, metaheuristic method is used to solve multiobjective problems. This method is easy to use
and does not require information of the model to be optimized. One metaheuristic method is the Bat (BA) Algorithm. In
this study BA, will be in hybrids using the method of Differential Evolution (DE) that has long existed in finding the
optimal solution. Both of these algorithms are combined with local search (Levy Flight Trajectory) in BA with DE.
Thus, hybrids from BA and DE will be tested to complete multi-purpose test functions.