Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volum

Description: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects. FORMAT Paperback CONDITION Brand New Table of Contents Chaotic-SCA Salp Swarm Algorithm Enhanced with Opposition Based Learning: Application to Decrease Carbon Footprint in Patient Flow.- Design and Performance Evaluation of Objective Functions Based on Various Measures of Fuzzy Entropies for Image Segmentation using Grey Wolf Optimization.- Improved Artificial Bee Colony Algorithm with Adaptive Pursuit Based Strategy Selection.- Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator.- Solving Optimal Power Flow with Considering Placement of TCSC and FACTS Cost Using Cuckoo Search Algorithm. Details ISBN3031075145 Author Ponnuthurai Nagaratnam Suganthan Pages 279 Publisher Springer International Publishing AG Edition Description 1st ed. 2022 Series Studies in Systems, Decision and Control Year 2023 Edition 1st ISBN-13 9783031075148 Format Paperback Imprint Springer International Publishing AG Subtitle Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems Place of Publication Cham Country of Publication Switzerland Alternative 9783031075117 Edited by Ponnuthurai Nagaratnam Suganthan DEWEY 519.6 Series Number 212 Audience Professional & Vocational Publication Date 2023-09-02 Illustrations 73 Illustrations, color; 21 Illustrations, black and white; X, 279 p. 94 illus., 73 illus. in color. ISBN-10 3031075145 UK Release Date 2023-09-02 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159689611;

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