Some open source frameworks used for evolutionary algorithms include Distributed Evolutionary Algorithms (DEAP) in Python, Evolutionary Computation in Java (ECJ), Evolving Objects in C++, EvA2 in ...

Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically leveraging ...

Cornell University. "Virtual, squishy creatures evolve to run using evolutionary algorithms." ScienceDaily. ScienceDaily, 23 April 2013. <www.sciencedaily.com / releases / 2013 / 04 / 130423135843 ...

Keywords: evolutionary computation, constrained optimization, sequence optimization, co-evolutionary algorithms, multi-obj ective optimization problems Citation: Zhang J, Yue H, Wang Y, Guo R and Shao ...

Evolutionary computation draws on Charles Darwin’s principles of natural evolution, commonly known as survival of the fittest. That is, the weakest (less well adapted) members of a species die ...

My intention with this article is to give an intuitive and non-technical introduction to the field of evolutionary algorithms, particularly with regards to optimisation. If I get you interested, I ...

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 ...