All Outputs (3)

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction (2019)
Conference Proceeding

Inventory forecasting is a key component of effective inventory management. In this work, we utilise hybrid deep learning models for inventory forecasting. According to the highly nonlinear and non-stationary characteristics of inventory data, the mo... Read More about Evolving Deep CNN-LSTMs for Inventory Time Series Prediction.

An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes (2019)
Book Chapter

© 2019, Springer Nature Switzerland AG. Many real-world applications require decision-makers to assess the quality of solutions while considering multiple conflicting objectives. Obtaining good approximation sets for highly constrained many-objective... Read More about An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes.

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food (2019)
Conference Proceeding

The taste and freshness of perishable foods decrease dramatically with time. Effective inventory management requires understanding of market demand as well as balancing customers needs and references with products’ shelf life. The objective is to av... Read More about A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.