Download Advances in Computational Intelligence: 12th International by Anastassia Angelopoulou, Alexandra Psarrou, José PDF

By Anastassia Angelopoulou, Alexandra Psarrou, José García-Rodríguez (auth.), Ignacio Rojas, Gonzalo Joya, Joan Cabestany (eds.)

ISBN-10: 3642386814

ISBN-13: 9783642386817

This two-volume set LNCS 7902 and 7903 constitutes the refereed lawsuits of the twelfth foreign Work-Conference on synthetic Neural Networks, IWANN 2013, held in Puerto de los angeles Cruz, Tenerife, Spain, in June 2013. The 116 revised papers have been rigorously reviewed and chosen from quite a few submissions for presentation in volumes. The papers discover sections on mathematical and theoretical tools in computational intelligence, neurocomputational formulations, studying and model emulation of cognitive features, bio-inspired platforms and neuro-engineering, complicated subject matters in computational intelligence and applications.

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Additional resources for Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II

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One of the standard models used in dividing a population into sub-population is the island model [11-14]. The simplest realization of this model is to have equal sized sub-population, or demes which evolve independently according to the original algorithm and, interchange information by exchanging a set of individuals at regular interval. Each sub-population has its specific residency in an island and the performance of the island model depends on several parameters: (1) the number of island, which in real application is constrained by the available hardware, (2) the percentage of migrating individuals (3) the frequency of migrations.

Our goal is to find a configuration of item occupancy {xi} so that we get as close to the knapsack weight capacity as possible. Here xi is a Topological Effects on the Performance of Island Model 15 binary variable which is 1 if item i is in the knapsack, and 0 otherwise. We use the string of {xi} to denote a chromosome. 2. The Weierstrass’s Function is a simplified version of F11 (Shifted Rotated Weierstrass’s Function) from CEC2005 benchmark suite [20]. 5]. D is the dimension of the function.

S. M. de Oliveira AM component examines each cluster, in regular intervals, indicating a probable promising cluster. A cluster density, also named volume, δj , is a measure that indicates the activity level inside the cluster j. For simplicity, δj can count the number of solutions generated by SM and grouped into cj . Whenever δj reaches a certain threshold λ, meaning that some information template becomes predominantly generated by SM, such cluster must be better investigated to accelerate the convergence process on it.

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