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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art = Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Handbook of Nature-Inspired Optimization Algorithms: The State of the Art/ edited by Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan.
Reminder of title:	Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems /
other author:	Mohamed, Ali.
Description:	X, 279 p. 94 illus., 73 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-07512-4
ISBN:	9783031075124

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art = Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems /
Handbook of Nature-Inspired Optimization Algorithms: The State of the ArtVolume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems /[electronic resource] :edited by Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan. - 1st ed. 2022. - X, 279 p. 94 illus., 73 illus. in color.online resource. - Studies in Systems, Decision and Control,2122198-4190 ;. - Studies in Systems, Decision and Control,27.

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.

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.

ISBN: 9783031075124

Standard No.: 10.1007/978-3-031-07512-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art = Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems /
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