{
"item_title" : "Recent Advances in Computational Optimization",
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"item_description" : "Learning to Optimize.- Optimal seating assignment in the COVID-19 era via Quantum Computing.- Hybrid Ant Colony Optimization Algorithms - Behaviour Investigation Based on Intuitionistic Fuzzy Logic.- Scheduling algorithms for single machine problem with release and delivery times.- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework.- Contemporary Bioprocesses Control Algorithms for Educational Purposes.- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning.- Rather good in, good out than garbage in, garbage out A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.",
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Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization Wco 2021
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Overview
Learning to Optimize.- Optimal seating assignment in the COVID-19 era via Quantum Computing.- Hybrid Ant Colony Optimization Algorithms - Behaviour Investigation Based on Intuitionistic Fuzzy Logic.- Scheduling algorithms for single machine problem with release and delivery times.- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework.- Contemporary Bioprocesses Control Algorithms for Educational Purposes.- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning.- Rather "good in, good out" than "garbage in, garbage out" A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.
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Details
- ISBN-13: 9783031068386
- ISBN-10: 3031068386
- Publisher: Springer
- Publish Date: September 2022
- Dimensions: 9.21 x 6.14 x 0.88 inches
- Shipping Weight: 1.62 pounds
- Page Count: 388
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