Titlebook: Artificial Evolution; 15th International C Pierrick Legrand,Arnaud Liefooghe,Evelyne Lutton Conference proceedings 2023 The Editor(s) (if a

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,Towards a?Many-Objective Optimiser for?University Course Timetabling,e can be fully optimised in a second phase. A set of non-dominated solutions is returned, representing a well-spread approximation to the Pareto front, from which a decision maker could ultimately choose according to . preferences.

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,An Elitist Non-dominated Heuristic Resolution for?the?Dynamic Asset Protection Problem,ing Genetic Algorithm (NSGA-II) to solve the D-APP. We define new mutation and crossover operators adapted to our problem, and we propose procedures to repair and evaluate a solution based on Mixed Integer Programming (MIP).

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,On the?Active Use of?an?ND-Tree-Based Archive for?Multi-Objective Optimisation, ND-Tree has proved an effective data structure across a range of update environments, and may reasonably be considered the state-of-the-art. However, although it is efficient as a . store of non-dominated solutions — which may be extracted at the end of an optimisation — its design is ill-suited to

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,A Game Theoretic Decision Tree for?Binary Classification,ately identify regions in the space in which most instances belong to the same class. This paper proposes a game-theoretic decision tree using a two-player game to determine the splitting hyperplane at the node level based on the Nash equilibrium concept. The entropy on each sub-node is used as a pa

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Neural Network-Based Virtual Analog Modeling,ely modeling such effects can be a challenging task. A recent rise in machine learning has lead to the ubiquity of neural networks in all fields including virtual analog modeling. This has lead to the appearance of a variety of architectures tailored to this task. We aim to provide an overview of th

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