An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

By analyzing the deficiency of traditional genetic algorithm in solving the Traveling Salesman Problem, an improved genetic algorithm is proposed for TSP. In this paper, the ordinal real-number ...

In this paper, we propose a new possibilistic programming approach to solve a fuzzy multiobjective assignment problem in which the objective function coefficients are characterized by triangular ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Why you need to practice doing programming problems: Problem recognition, and where the right data structures and algorithms fit in; Gathering requirements for the problem; Talking your way through ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...