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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 ...
Introduction. In recent years, the development of evolutionary computation has attracted extensive attention. Based on the Darwinian theorem of “Survival of the Fittest” (Dawkins, 2006; Ma et al., ...
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 ...
IEEE Transactions on Evolutionary Computation (2021). [2] A distance between populations for n-points crossover in genetic algorithms . Swarm and Evolutionary Computation (2019).
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 ...
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 ...
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