Advances in Artificial Life and Evolutionary Computation: by Clara Pizzuti, Giandomenico Spezzano

By Clara Pizzuti, Giandomenico Spezzano

This ebook constitutes the revised chosen papers of the ninth Italian Workshop on Advances in synthetic lifestyles and Evolutionary Computation held in Vietri sul Mare, Italy, in might 2014, at the side of the twenty fourth Italian Workshop on Neural Networks, WIRN 2014.

The sixteen papers provided were completely reviewed and chosen from forty submissions. They disguise the subsequent subject matters: synthetic neural networks; fuzzy inference structures; tough set; approximate reasoning; and optimization equipment corresponding to evolutionary computation, swarm intelligence, particle swarm optimization.

Show description

Read Online or Download Advances in Artificial Life and Evolutionary Computation: 9th Italian Workshop, WIVACE 2014, Vietri sul Mare, Italy, May 14-15, Revised Selected Papers PDF

Best italian books

La societa dello spettacolo

Esemplare in buone condizioni. Macchie di polvere in copertina. Macchie di polvere ai tagli. Tagli ingialliti. Pagine ingiallite.

Extra resources for Advances in Artificial Life and Evolutionary Computation: 9th Italian Workshop, WIVACE 2014, Vietri sul Mare, Italy, May 14-15, Revised Selected Papers

Sample text

More specifically, there is a consolidated scientific literature concerning EC techniques applied to data clustering [1]. In general, bio-inspired techniques, as all clustering methods, measure and optimize the efficiency of a given algorithm on the basis of an evaluation function. In the case of EC techniques it corresponds to the fitness function. The novelty of EC techniques, respect to more traditional approaches, is represented by the possibility to have a parallel competition between many different clustering variants.

The resulting population dynamics is shown by Fig. 4. It illustrates the final distribution of the populations in the world as well as the amount of time, in arbitrary units, required by the ecosystem to begin stabilizing after having started from an uninhabited world. However, in order to attain such stability, it is important that the underlying environmental state does not change too much during this transient phase. , defined by the designer) only three of them populate the proposed world. This fact derives from the environmental conditions of the world which are not adequate for the cactus species to grow.

Development process. Finally, it is difficult for developers to bring new game components without redesigning significantly, if not completely, the game environment so as to keep it consistent. Living Emerging Worlds for Games 39 Note that some games, like Embers of Caerus [2,3], are working on the development of a dynamic game ecology, a subject closely related to the work proposed herein. 2 Living Emerging Worlds in Brief Keeping in mind the goal of offering realistic game environments from an ecological behavior point of view, the simplest manner to solve (some of) the main difficulties described previously is to use environmental models that are close enough to real living environments.

Download PDF sample

Rated 4.31 of 5 – based on 50 votes