With regulators increasingly focusing on algorithmic discrimination, human intervention in predictive model programming and artificial intelligence (AI) will be more important than ever. Although the ...

Algorithms solve problems. But which algorithm is best suited to which problem? During his doctoral research, Diederick Vermetten developed methods to ...

A group of computer gamers are making habit of outshining scientists at their own game. Most of them have no scientific background, but they have a track record of cracking tough scientific puzzles, ...

In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Experts say ABC represents a major step forward in bio-inspired computing. By replicating the collective intelligence and adaptive strategies of honey bees, the algorithm provides a flexible, ...

In this paper, we propose a reference direction approach and an interactive algorithm to solve the general multiple objective integer linear programming problem. At each iteration, only one mixed ...

Almost weekly a friend or an acquaintance asks me, “I want to learn to code; which language should I start with?” More or less bi-weekly I get a DM on LinkedIn starting with, “My son should start ...