Titlebook: Advances of Evolutionary Computation: Methods and Operators; Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego A Book 2016 Springer Interna

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書目名稱Advances of Evolutionary Computation: Methods and Operators影響因子(影響力)




書目名稱Advances of Evolutionary Computation: Methods and Operators影響因子(影響力)學(xué)科排名




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書目名稱Advances of Evolutionary Computation: Methods and Operators被引頻次




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書目名稱Advances of Evolutionary Computation: Methods and Operators讀者反饋




書目名稱Advances of Evolutionary Computation: Methods and Operators讀者反饋學(xué)科排名

注視

Book 2016ave proved to be e?ective in the solutionof several complex problems. The book has been structured so that each chaptercan be read independently from the others. The book contains nine chapters withthe following themes: 1) Introduction, 2) the Social Spider Optimization (SSO),3) the States of Matter

格言

1860-949X fective in adapting a determined EC method to a specific pro.The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC) developmentsand non-conventional operators which have proved to be e?ective in the solutionof several complex problems. The book has been st

低三下四之人

An Evolutionary Computation Algorithm based on the Allostatic Optimization,t body conditions which interact to each other by using operators based on the biological principles of the allostasis mechanism. The proposed method has been compared to other well-known optimization algorithms. The results show good performance of the proposed method when searching for a global optimum of several benchmark functions.

大洪水

Eeg332

Oleksiy Shulika,Igor Sukhoivanovhods. The comparison examines several standard benchmark functions which are commonly considered within the literature of evolutionary algorithms. The results and examples show a high performance of the presented method when searching for a global optimum of several benchmark functions.

headlong

Comprehensive Rehabilitation of Oral Cancer,he biological laws of collective motion. The optimization method presented in this chapter has been compared to other well-known optimization algorithms. The results, experiments and practical examples confirm the high performance of the presented method to find a global optimum of several benchmark functions.

公司

neuron

delta-waves

The Collective Animal Behavior method,he biological laws of collective motion. The optimization method presented in this chapter has been compared to other well-known optimization algorithms. The results, experiments and practical examples confirm the high performance of the presented method to find a global optimum of several benchmark functions.