Sajad Ahmad Rather

Broschiertes Buch

GSA-BBO Hybridization Algorithm

Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm

Beschreibung

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.

Autor

Er. Sajad Ahmad Rather é professor de Informática e Engenharia no Colégio Governamental de Engenharia e Tecnologia, Safapora, Ganderbal, Caxemira. As suas áreas de investigação de interesse são a aprendizagem de máquinas, Inteligência Artificial, Processamento de Imagem, etc. Publicou trabalhos de investigação em revistas de renome e apresentou trabalhos de investigação.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 56
• Erscheinungstermin: 20. Juni 2018
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 102g
• ISBN-13: 9786139844432
• ISBN-10: 6139844436
• Artikelnr.: 53213974