Read e-book online Applications of Evolutionary Computation: EvoApplications PDF

By Farhan Ahammed, Pablo Moscato (auth.), Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna I. Esparcia-Alcázar, Juan J. Merelo, Ferrante Neri, Mike Preuss, Hendrik Richter, Julian Togelius, Georgios N. Yannakakis (eds.)

ISBN-10: 3642205240

ISBN-13: 9783642205248

ISBN-10: 3642205259

ISBN-13: 9783642205255

This ebook constitutes the refereed lawsuits of the overseas convention at the functions of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 occasions. due to the massive variety of submissions bought, the court cases for EvoApplications 2011 are divided throughout volumes (LNCS 6624 and 6625). the current quantity comprises contributions for EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC. The 36 revised complete papers provided have been rigorously reviewed and chosen from a variety of submissions. This quantity provides an summary in regards to the most recent examine in EC. components the place evolutionary computation thoughts were utilized variety from telecommunication networks to complicated structures, finance and economics, video games, picture research, evolutionary tune and paintings, parameter optimization, scheduling, and logistics. those papers could provide directions to aid new researchers tackling their very own challenge utilizing EC.

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Additional resources for Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I

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Specifically, we intend to tackle this problem by means of stochastic local search (SLS). As far as the objective function (OF) is concerned, we should remark that, in the context of automatic design, the OF is rather a guide to the underlying solving procedure than an actual measure of the quality of a solution (which, in fact, might not be precisely measurable). This is often the case, for instance, in evolutionary robotics [19]. Informally, our objective is to automatically design a BN whose attractors are as much different from each other as possible.

The other way round, a peer can receive requests from its neighbors, and its response in general may depend and affect its local environment. Thus, environmental inputs usually target a very limited number of peers. When a peer receives an input (from the environment or from other peers), its internal structure maps the input to an output. The mapping process could require the peer to cooperate with other peers, exchanging messages in order to discover and eventually consume resources. In any case, localized reactions follow localized inputs.

The turtle needs to finish at the initial position to not affect the positioning of the other cities, and hence preserving the overall structure of the L-System. Figure 2b shows how a perturbation can be described using L-System grammar. In order to place a city, the symbol ‘F’ is used. This makes the turtle move forward (a calculated distance) and place the city where it stops. ’ This will make the turtle move forward but not place a city. Next, the angle angle and distance is changed using the command ‘@ε \θ’.

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Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I by Farhan Ahammed, Pablo Moscato (auth.), Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna I. Esparcia-Alcázar, Juan J. Merelo, Ferrante Neri, Mike Preuss, Hendrik Richter, Julian Togelius, Georgios N. Yannakakis (eds.)


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