[Studies in Computational Intelligence] Parameter Setting in Evolutionary Algorithms Volume 54 || Parameter Setting in Parallel Genetic Algorithms

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parameter Setting in Evolutionary Algorithms Volume 54 || Parameter Control in Practice

✍ Lobo, Fernando G.; Lima, Cláudio F.; Michalewicz, Zbigniew 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg ⚖ 538 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parameter Setting in Evolutionary Algorithms Volume 54 || Parameter-less Hierarchical Bayesian Optimization Algorithm

✍ Lobo, Fernando G.; Lima, Cláudio F.; Michalewicz, Zbigniew 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg ⚖ 555 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parameter Setting in Evolutionary Algorithms Volume 54 || Parameter Adaptation for GP Forecasting Applications

✍ Lobo, Fernando G.; Lima, Cláudio F.; Michalewicz, Zbigniew 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg ⚖ 434 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parameter Setting in Evolutionary Algorithms Volume 54 || Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements

✍ Lobo, Fernando G.; Lima, Cláudio F.; Michalewicz, Zbigniew 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg ⚖ 490 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parallel Genetic Algorithms Volume 367 || Parallel Models for Genetic Algorithms

✍ Luque, Gabriel; Alba, Enrique 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 312 KB

This Book Is The Result Of Several Years Of Research Trying To Better Characterize Parallel Genetic Algorithms (pgas) As A Powerful Tool For Optimization, Search, And Learning. Readers Can Learn How To Solve Complex Tasks By Reducing Their High Computational Times. Dealing With Two Scientific Fields

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Parallel Genetic Algorithms Volume 367 || Introduction

✍ Luque, Gabriel; Alba, Enrique 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 304 KB

This Book Is The Result Of Several Years Of Research Trying To Better Characterize Parallel Genetic Algorithms (pgas) As A Powerful Tool For Optimization, Search, And Learning. Readers Can Learn How To Solve Complex Tasks By Reducing Their High Computational Times. Dealing With Two Scientific Fields