Advances in Swarm Intelligence: 4th International by Tim Landgraf, Hai Nguyen, Stefan Forgo, Jan Schneider,

By Tim Landgraf, Hai Nguyen, Stefan Forgo, Jan Schneider, Joseph Schröer, Christoph Krüger (auth.), Ying Tan, Yuhui Shi, Hongwei Mo (eds.)

This publication and its significant other quantity, LNCS vols. 7928 and 7929 represent the lawsuits of the 4th overseas convention on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised complete papers offered have been rigorously reviewed and chosen from 268 submissions. The papers are prepared in 22 cohesive sections protecting all significant themes of swarm intelligence examine and advancements. the next issues are lined during this quantity: research of swarm intelligence established algorithms, particle swarm optimization, purposes of particle swarm optimization algorithms, ant colony optimization algorithms, biogeography-based optimization algorithms, novel swarm-based seek equipment, bee colony algorithms, differential evolution, neural networks, fuzzy equipment, evolutionary programming and evolutionary games.

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The swarm diversity of f3 Fig. 4. 8. The vertical axis is the common log of the average extremum and the horizontal axis is corresponding iterations. To avoid function value being zero, 10-11 was added to each value as the final values. It can be seen from the illustrations that the best average optimization result of all functions is gained when the algorithm is without GO (S3), while the worst is gained when the algorithm is without RO (S4). In general, the order of the average optimization result of all control strategies from high to low is: S3, S2, S1, S4.

The p(xi ) is the probability which the ith firework or spark is selected as the firework of next generation. (11) do not consider the fitness of sparks 18 J. Liu, S. Zheng, and Y. Tan or fireworks for the selection of next generation fireworks’ location. (7). (11) of original FWA don’t consider the fitness to select the firework location. Therefore, there are two methods to be provided to modify the selection operator. 1. Fitness Selection using the roulette Like the original FWA, the best of the set will be selected first.

32–39, 2013. c Springer-Verlag Berlin Heidelberg 2013 An Artificial Chemistry System for Simulating Cell Chemistry 2 33 Related Work In this section, some representative artificial chemistry models are described. Illustrations of the models can be found in Fig. 1. Fig. 1. (a) Squirm3, (b) synthon, (c) a string based model and (d) a tile based model The artificial chemistry system, Squirm3, proposed by Hutton [3] to explore self-replication is a 2-D system simulating atoms and their reactions. ). When two atoms collide, reactions can occur.

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