Swarm Intelligence Algorithms Modifications and Applications

This chapter presents a nature-inspired ant colony optimization (ACO) technique, along with its modified variants. The improved versions of this optimization technique are slightly different and effective than that of its standard version. ACO has inspired from the foraging behavior of ant colony an...

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Bibliographische Detailangaben
1. Verfasser:	Slowik, Adam
Format:	E-Book
Sprache:	Englisch
Veröffentlicht:	United States CRC Press 2020 Taylor & Francis Group
Ausgabe:	1
Schlagworte:	Algorithms Algorithms & Complexity Computer Engineering COMPUTERSCIENCEnetBASE Data processing Computer science ElectricalEngineeringnetBASE ENGnetBASE INFORMATIONSCIENCEnetBASE Intelligent Systems Mathematical optimization monarch butterfly optimization nature based optimization methods nature inspired algorithms SCI-TECHnetBASE spotted hyena optimizer STMnetBASE Swarm intelligence swarm intelligence algorithms tutorial for swarm intelligence algorithms Firefly Algorithm Grey Wolf Optimization BFO Algorithm Chaotic Maps ABC Algorithm Original PSO Algorithm Travelling Salesman Problem Economic Load Dispatch Problem Swarm Intelligence Algorithms Real Life Optimization Problems Levy Flights Inertia Weights Feasible Population CSO Optimal Power Flow Problem Metaheuristic Optimization Algorithms Real Power Loss Minimization Limited Step Sizes Standard ACO PSO CS Test Distribution System PSO Algorithm Welded Beam Design Problem Welded Beam Design
ISBN:	0429749473, 9780429749476, 9781138391017, 9780367528881, 1138391018, 0367528886, 9780367496197, 0367496194
Online-Zugang:	Volltext
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