In this study, an LP model was developed in order to determine the optimal working status in a B2C type e-commerce site. Prices were determined dynamically with the Q-learning algorithm, and dynamic cost values were determined with the help of dynamic prices and transferred into the LP model. The LP model is solved with the Lizprog library of the SCILAB language. The results found are effective and useful for the optimal operation of an e-commerce site, and faster results were obtained compared to similar studies.
In this study, the path planning problem for UAVs has been investigated. Out goal was finding a method to go from the source to the target point in the shortest time and the shortest route. A mathematical programming model that takes into account the environmental safety conditions has been developed and solved with the MBO algorithm. MBO algorithm [2] gives better results than simulated annealing, tabu search, genetic algorithm, scatter search, particle swarm optimization, differential evolution and guided evolutionary simulated annealing approaches, as stated in a previous study [2].
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