This Python-based project delivers an efficient and user-friendly Sudoku solver by leveraging the backtracking algorithm. The application is developed with a focus on algorithmic understanding, ...

Backtracking is a commonly used recursive technique in which the solution is built incrementally while simultaneously checking for problem conditions at each step. If the conditions are unmet, the ...

Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances.

In the distribution center, the way of order picking personnel to pick goods has two kinds: single picking and batch picking. Based on the way of the single picking and assumed warehouse model, in ...

Abstract: Car driving safety, comfort, energy economy and battery life extension are important factors for electric vehicles. To optimize these factors, this paper proposes an economic adaptive cruise ...

The accuracy of photovoltaic (PV) power forecasting techniques relies not only on high-quality spatiotemporal data but also on an efficient feature-mining methodology. In this study, a spatiotemporal ...