[Henrik] has been working on a program to design electronic circuits using evolutionary algorithms.It’s still very much a work in progress, but he’s gotten to the point of generating a decent ...

In the software engineering world, software product lines constitute an approach for building reliable software systems. These use feature models to capture, develop, and document shared software for ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms ...

When using an evolutionary algorithm you need to define a method for the specific problem being optimized. In some situations you might need to pass additional information to the Solver class. For ...

When solving a multi-objective optimization problem using Evolutionary Algorithms, the diversity loss can occur as the evolution process is made. This is particularly significant in Pareto-based ...

Evolutionary Algorithm: A computational method that employs mechanisms analogous to biological evolution, such as mutation, crossover, and selection, to optimise solutions iteratively.