Algorithms and data structures are the backbone of efficient problem-solving in tech. By learning their principles and design techniques, you can tackle challenges with precision and creativity.

Abstract: This paper addresses multi-AGV task allocation in intelligent manufacturing by proposing a hybrid rescheduling method combining an improved greedy algorithm and simulated annealing. It ...

For much of the past decade, post-quantum cryptography (PQC) lived primarily in academic journals and standards committees. That changed in August 2024, when the National Institute of Standards and ...

Abstract: The energy storage self-scheduling (ESSS) problem is typically formulated as a mixed-integer linear programming (MILP) or quadratically constrained programming (QCP) model, reflecting the ...