Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Does evolutionary computation ring a bell? In computer science, it’s the ...

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 that ...

Genetic algorithms (GAs) have emerged as a powerful optimisation tool in product design and user-centred engineering, drawing inspiration from the principles of biological evolution. They use ...

Assistant Professor Robert MacCurdy and his collaborators have won the ACM SIGEVO Impact Award for their outstanding contributions in the field of genetic and evolutionary computation. The award ...

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Designed for courses on Evolutionary Multi-objective Optimization and Evolutionary Algorithms. This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

The Faculty of Computer Science's Dr. Malcolm Heywood joins experts from across the globe to share his knowledge in Evolutionary Algorithms with Sentient Technologies, a world leader in artificial ...