Titlebook: AIxIA 2020 – Advances in Artificial Intelligence; XIXth International Matteo Baldoni,Stefania Bandini Conference proceedings 2021 Springer

ADAGE

https://doi.org/10.1007/978-1-0716-0480-9nerality of the graph abstraction makes it desirable a way for searching in the space of graphs able to work effectively regardless of the graph form and application. In this paper, we propose GraphEA, a modular evolutionary algorithm (EA) for evolving graphs. GraphEA is modular in the sense that it

善于騙人

https://doi.org/10.1007/978-1-0716-0480-9ommon hybridization is to apply a local solver method within evolutionary computation algorithms. In many published works in the literature, such local solver is run in different ways, sometimes acting on the perturbed elements and other on the best ones, and this raises the question of when it is b

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