Titlebook: Bioinspired Optimization Methods and Their Applications; 10th International C Marjan Mernik,Tome Eftimov,Matej ?repin?ek Conference proceed

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,SMOTE Inspired Extension for?Differential Evolution,iants, although still undoubtedly bringing value on these problems, does hint at complex interactions with already integrated enhancements, suggesting that extending already enhanced algorithm variants is not simple, to say the least.

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Trade-Off of Networks on Weighted Space Analyzed via a Method Mimicking Human Walking Track Superpoximates the Pareto frontier by connecting inherent non-dominated solutions. This approximation enables the analysis of the relationship between the weighted space and the limit of effective networks the space can generate quantitatively. Several experiments are carried out, and the result infers tha

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Joshua J. Zaritsky,Bradley A. Warady MDdiscovered by GP, the Additive-Increase-Multiplicative-Decrease principle is exploited differently than in traditional protocols, by using a more aggressive window increasing policy. More importantly, the evolved protocols show an improvement of the throughput of the network of about 5%.

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Kidney and Kidney Tumor Segmentationeen different algorithms as well as the similarity between the same algorithm but with different parameter settings. Our method can show if parameter settings of the same algorithm are more similar between themselves than to other algorithms and suggest a clustering based on the performance profile.

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,Empirical Similarity Measure for?Metaheuristics,een different algorithms as well as the similarity between the same algorithm but with different parameter settings. Our method can show if parameter settings of the same algorithm are more similar between themselves than to other algorithms and suggest a clustering based on the performance profile.