23,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
12 °P sammeln
Andere Kunden interessierten sich auch für
![Tone Labelling Algorithm for Sesotho]( "Tone Labelling Algorithm for Sesotho")
Tone Labelling Algorithm for Sesotho32,99 €![Image Inpainting using Exemplar Algorithm and Wavelet transform]( "Image Inpainting using Exemplar Algorithm and Wavelet transform")
Image Inpainting using Exemplar Algorithm and Wavelet transform23,99 €![The Hybrid Algorithm for Data Collection over a Tree Topology in WSN]( "The Hybrid Algorithm for Data Collection over a Tree Topology in WSN")
The Hybrid Algorithm for Data Collection over a Tree Topology in WSN36,99 €![Amended Fruit Fly Algorithm]( "Amended Fruit Fly Algorithm")
Amended Fruit Fly Algorithm36,99 €![A Novel Algorithm to solve N-Queens and Sum of Subset Problems]( "A Novel Algorithm to solve N-Queens and Sum of Subset Problems")
A Novel Algorithm to solve N-Queens and Sum of Subset Problems26,99 €![Performance Evaluation of RC6 Cryptographic Algorithm]( "Performance Evaluation of RC6 Cryptographic Algorithm")
Performance Evaluation of RC6 Cryptographic Algorithm36,99 €![Sorting Algorithms]( "Sorting Algorithms")
Sorting Algorithms45,99 €
In recent years, many heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors' in nature. In this book, a new optimization algorithm based on newtons law of gravity and biogeography is introduced. In the proposed algorithm, the searching space of GSA is increased from local population range to global by using the concepts of biogeography. Also, the fitness of agents is optimized in GSA by using mathematical analysis.