Genetic Algorithm (GA) is a common algorithm used to solve optimization problems
with artificial intelligence approach. Similarly, the Particle Swarm Optimization (PSO)
algorithm. Both algorithms have different advantages and disadvantages when applied to the
case of optimization of the Model Integer Programming for Bus Timetabling Problem
(MIPBTP), where in the case of MIPBTP will be found the optimal number of trips confronted
with various constraints. The comparison results show that the PSO algorithm is superior in
terms of complexity, accuracy, iteration and program simplicity in finding the optimal solution.
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