Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
The success of decoder-based evolutionary algorithms (EAs) strongly depends on the achieved locality of operators and decoders. Most approaches to investigate locality properties ...
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....