Titlebook: Artificial Evolution; 7th International Co El-Ghazali Talbi,Pierre Liardet,Marc Schoenauer Conference proceedings 2006 Springer-Verlag Berl

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Enhancements of NSGA II and Its Application to the Vehicle Routing Problem with Route Balancingthe difference between the maximal route length and the minimal route length. For this problem, we propose an implementation of the standard multi-objective evolutionary algorithm NSGA II. To improve its efficiency, two mechanisms have been added. First, a parallelization of NSGA II by means of an i

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The Importance of Scalability When Comparing Dynamic Weighted Aggregation and Pareto Front Technique other. The algorithms are run on 11 two-objective test functions, and 2 three-objective test functions to observe the scalability of the two systems. It is discovered that, while the NSGA-II performs better on most of the two-objective test functions, the DWAGA can outperform the NSGA-II on the thr

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Analysing Co-evolution Among Artificial 3D Creatureson is subject to complex dynamics which are notoriously difficult to analyse. We introduce an improved analysis method based on Master Tournament matrices [2], which we argue is both less costly to compute and more informative than the original method. Based on visible features of the resulting grap

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A Critical View of the Evolutionary Design of Self-assembling Systems applied Evolutionary Algorithms (EAs) for the . design of systems self-assembly. We will focus in three important minimalist self-assembly problems and we discuss the difficulties encountered while applying EAs to these test cases. We also suggest some promising lines of work that could possibly he

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Algorithmic Self-assembly by Accretion and by Carving in , fabrication of a fractal pattern, a Sierpinsky triangle, using two approaches: by . and by .. The notion of topological collections available in .enables the easy and concise modeling of self-assembly processes on various lattice geometries as well as more arbitrary constructions of multi-dimension

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Evolutionary Design of a DDPD Model of Ligationtudy an extremely simple form of ligation by means of a dissipative particle dynamics (DPD) model extended to include the dynamic making and breaking of strong bonds, which we term dynamically bonding dissipative particle dynamics (DDPD). Then we use a chemical genetic algorithm (CGA) to optimize th

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