Evolutionary algorithms (EAs) represent a class of heuristic optimisation methods inspired by natural selection and Mendelian genetics. They iteratively evolve a population of candidate solutions ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

The goal of a combinatorial optimization problem is to find a set of distinct integer values that minimizes some cost function. The most famous example is the Traveling Salesman Problem (TSP). There ...

A team led by Northwestern Engineering researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch. To test the new AI, the researchers ...

Rob Brooks receives funding from the Australian Research Council. What will humans be like generations from now in a world transformed by artificial intelligence (AI)? Plenty of thinkers have applied ...