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Book synopsis

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.

Book details

• Full title: GSA-BBO Hybridization Algorithm
• Subtitle: Improvement in GSA, based on Newtons Law of Gravitation Using BBO, Nature Inspired Algorithm
• Author: Sajad Ahmad Rather
• Language: English
• Binding: Paperback
• Number of pages: 56
• EAN: 9786139844432
• ID: 19794621
• Publisher: Lambert Academic Publishing
• Weight: 95 g
• Dimensions: 229 × 152 × 3 mm
• Date of publishing: 20. June 2018

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