We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

Evolutionary optimization (EO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, EO can be used to train a neural network. EO is ...

Furthermore, a genetic algorithm utilizing problem specific knowledge is proposed to provide effective alternative solutions. The Editorial Policy of the Journal of the Operational Research Society is ...

A newly developed performance evaluation system can assess energy storage power plants (ESPPs) in terms of investment ...

This powerful “master algorithm” is at the heart of work postulated by Pedro Domingos, author of The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World.

Nature talked to one of the people behind these algorithm improvements, who was optimistic that they could eventually replicate all of D-Wave's results using non-quantum algorithms.