Titlebook: Applications of Evolutionary Computation; 18th European Confer Antonio M. Mora,Giovanni Squillero Conference proceedings 2015 Springer Inte

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冷峻

negotiable

https://doi.org/10.1007/978-981-287-104-6ovements based on EO aim at better convergence of the algorithm and better quality of program execution in terms of the execution time. The proposed load balancing algorithm is evaluated by experiments with simulated parallelized load balancing of distributed program graphs.

污點(diǎn)

https://doi.org/10.1007/978-981-287-104-6olve the problem using a freely available data set. The results obtained are analysed considering two MO quality metrics: hypervolume and set coverage. After applying a statistical methodology widely accepted, we conclude that SPEA2 provides the best performance on average considering such data set.

pancreas

James R. Barth,Cindy Lee,Triphon Phumiwasanaures. A broad experimental evaluation on different problems and computational scenarios featuring diverse volatility conditions shows that the combination of these two strategies leads to more robust performances, in particular in situations in which churn rates are large.

Nerve-Block

Heat Map Based Feature Selection: A Case Study for Ovarian Cancerta without the need of pre-processing, thanks to a built-in compression mechanism based on color quantization. Results shows that our proposal is very competitive against some of the most popular algorithms and succeeds where other methodologies may fail due to the high dimensionality of the data.

不真

A Novel Grouping Genetic Algorithm for Assigning Resources to Users in WCDMA Networks work points out that our GGA approach exhibits a superior performance than that of the conventional method (which minimizes only the load factors), since all users receive the demanded service along with a minimum use of the assigned resources (aggregate capacity, power, and codes).

伸展

規(guī)章

Planning the Deployment of Indoor Wireless Sensor Networks Through Multiobjective Evolutionary Technolve the problem using a freely available data set. The results obtained are analysed considering two MO quality metrics: hypervolume and set coverage. After applying a statistical methodology widely accepted, we conclude that SPEA2 provides the best performance on average considering such data set.

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