{
"item_title" : "Handbook of Nature-Inspired Optimization Algorithms",
"item_author" : [" Ali Mohamed", "Diego Oliva", "Ponnuthurai Nagaratnam Suganthan "],
"item_description" : "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.",
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Handbook of Nature-Inspired Optimization Algorithms : The State of the Art: Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numeric
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Overview
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.
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Details
- ISBN-13: 9783031075117
- ISBN-10: 3031075110
- Publisher: Springer
- Publish Date: September 2022
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.29 pounds
- Page Count: 279
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