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This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.
This project is an extension of my Senior project to take the metaheuristic method called the Walrus Optimization Algorithm (WaOA) and develop a set-based version of it to solve the problem of order batching
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This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.
This project is an extension of my Senior project to take the metaheuristic method called the Walrus Optimization Algorithm (WaOA) and develop a set-based version of it to solve the problem of order batching