Evolutionary Computation with Biogeography-based Optimization Evolutionary Computation with Biogeography-based Optimization

Evolutionary Computation with Biogeography-based Optimization

    • 139,99 €
    • 139,99 €

Description de l’éditeur

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide the main logic behind BBO. Due to the cross-disciplinary nature of the optimization problems, there is a need to develop multiple approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm and its variants created to cope with continuous domain problems (with and without constraints) and combinatorial problems.

GENRE
Informatique et Internet
SORTIE
2017
18 janvier
LANGUE
EN
Anglais
LONGUEUR
352
Pages
ÉDITIONS
Wiley
DÉTAILS DU FOURNISSEUR
John Wiley & Sons Ltd
TAILLE
15,1
Mo
Evolutionary Multi-Agent Systems Evolutionary Multi-Agent Systems
2007
Parallel Problem Solving from Nature – PPSN XV Parallel Problem Solving from Nature – PPSN XV
2018
Intelligent Control Intelligent Control
2008
Simulated Evolution and Learning Simulated Evolution and Learning
2008
Parallel Problem Solving from Nature – PPSN XVII Parallel Problem Solving from Nature – PPSN XVII
2022
Design and Analysis of Learning Classifier Systems Design and Analysis of Learning Classifier Systems
2009