Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems: 212

ISBN 10: 3031075110 / ISBN 13: 9783031075117

Edité par Springer, 2022

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N° de réf. du vendeur 26395750945

Détails bibliographiques

• Titre: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems: 212
• Éditeur: Springer
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3031075110
• ISBN à 13 chiffres: 9783031075117
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

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.