Titlebook: Computational Intelligence; Jonathan Garibaldi,Christian Wagner,Kevin Warwick Conference proceedings 2023 The Editor(s) (if applicable) an

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粘土

,Improving Simulation Realism in Developing a Fuzzy Modular Autonomous Driving System for Electric Bign involved both Classical Computation and Computational Intelligence techniques (mainly Fuzzy Logic and Artificial Neural Networks) and several version of the same ADS modular architecture have obtained progressively replacing the classical modules with the intelligent ones. The modular architectu

Bone-Scan

,Facing Graph Classification Problems by a Multi-agent Information Granulation Approach,work on several heterogeneous datasets. The design of the algorithm is based on a swarm of agents orchestrated via evolutionary optimization in charge of finding meaningful substructures from unstructured training data. The algorithm is tailored to face pattern recognition problems by a suitable emb

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,One-Shot Identification with Different Neural Network Approaches,g good features often is computationally expensive in machine learning settings and is especially difficult when there is a lack of data. One-shot learning is one such area where only limited data is available. In one-shot learning, predictions have to be made after seeing only one example from one

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Interdisciplinary Applied Mathematicsplete) optimization problem, which consists in finding an optimum set of roles and their assignment to users, is known as the Role Mining Problem (RMP). Since real-world use cases often involve large-scale problems with a high number of users and permissions, it is desirable to find fast solution st

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Stochastic Processes in Cell Biologye Description Languages (HDLs) and powerful logic simulators. HDLs permit circuit designers to design circuits at a very abstract level. These are then tested before being committed to hardware. We present Automatic Design of Digital Circuits (ADDC), a system that employs Grammatical Evolution, Syst

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Stochastic Processes in Cell Biologyartesian Genetic Programming (CGP) is widely used merely with mutation for genetic variation. Compared to comprehensive and advanced knowledge about crossover in the field of tree-based Genetic Programming, the state of knowledge in CGP appears to be generally weak. Even if CGP was officially introd

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斗争

Stochastic Processes in Cell Biology the advancement of logistic systems and telecommunications fields. CVRPTW is a elaborate strain of the well studied capacitated vehicle routing problem (CVRP) with a time window framework as an added constraint. As the problems are known to be NP-hard, meta-heuristics proficiently explore the searc