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Nature-Inspired Optimization Algorithms

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Nature-Inspired Optimization AlgorithmsISBN13:9780128100608ISBN10:0128100605Author:Yang, Xin-She (Author)Description:Nature-Inspired Optimization Algorithms Provides A Systematic Introduction To All Major Nature-Inspired Algorithms For Optimization The Book's Unified Approach, Balancing Algorithm Introduction, Theoretical Background And Practical Implementation, Complements Extensive Literature With Well-Chosen Case Studies To Illustrate How These Algorithms Work Topics Include Particle Swarm Optimization, Ant And Bee Algorithms, Simulated Annealing, Cuckoo Search, Firefly Algorithm, Bat Algorithm, Flower Algorithm, Harmony Search, Algorithm Analysis, Constraint Handling, Hybrid Methods, Parameter Tuning And Control, As Well As Multi-Objective Optimization This Book Can Serve As An Introductory Book For Graduates, Doctoral Students And Lecturers In Computer Science, Engineering And Natural Sciences It Can Also Serve A Source Of Inspiration For New Applications Researchers And Engineers As Well As Experienced Experts Will Also Find It A Handy Reference Discusses And Summarizes The Latest Developments In Nature-Inspired Algorithms With Comprehensive, Timely Literatureprovides A Theoretical Understanding As Well As Practical Implementation Hintsprovides A Step-By-Step Introduction To Each Algorithm Binding:Paperback, PaperbackPublisher:ElsevierPublication Date:2016-08-19Weight:0.82 lbsDimensions:0.58'' H x 9.02'' L x 5.98'' WNumber of Pages:300Language:English

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Nature-Inspired Optimization Algorithms

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Book Title: Nature-Inspired Optimization Algorithms

Item Length: 9in.

Item Height: 0.6in.

Item Width: 6in.

Author: Xin-She Yang

Publication Name: Nature-Inspired Optimization Algorithms

Format: Trade Paperback

Language: English

Publisher: Elsevier

Publication Year: 2016

Type: Textbook

Item Weight: 13.2 Oz

Number of Pages: 276 Pages

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