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 promise of evolutionary algorithms has been around for several years, offering organizations the elusive prospect of an advanced self-learning approach for artificial intelligence (AI).. A key ...

Does evolutionary computation ring a bell? In computer science, it’s the family of algorithms for global optimization inspired by biological evolution.

This paper frames hardware-aware neural network pruning as a multi-objective optimization problem and introduces HAMP, a memetic Multi-Objective Evolutionary Algorithm (MOEA) that optimizes both ...

One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given site. Poor turbine placement can lead to reduced energy capture due to wake ...

Discover the power of Evolutionary Algorithms in this AI Terminologies 101 guide, detailing the nature-inspired optimization techniques that drive innovat ...

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 ...