{
"item_title" : "Optinformatics in Evolutionary Learning and Optimization",
"item_author" : [" Liang Feng", "Yaqing Hou", "Zexuan Zhu "],
"item_description" : "Evolutionary Learning and Optimization.- The Rise of Optinformatics in Evolutionary Computation.- Knowledge Learning and Transfer in Meta-heuristics.- Knowledge Reuse in The Form of Local Search.- Knowledge Reuse via Transfer Learning from Past Search Experiences.- Optinformatics across Heterogeneous Problem Domains and Solvers.- Potential Research Directions.",
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Optinformatics in Evolutionary Learning and Optimization
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Overview
Evolutionary Learning and Optimization.- The Rise of Optinformatics in Evolutionary Computation.- Knowledge Learning and Transfer in Meta-heuristics.- Knowledge Reuse in The Form of Local Search.- Knowledge Reuse via Transfer Learning from Past Search Experiences.- Optinformatics across Heterogeneous Problem Domains and Solvers.- Potential Research Directions.
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Details
- ISBN-13: 9783030709198
- ISBN-10: 3030709191
- Publisher: Springer
- Publish Date: March 2021
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.87 pounds
- Page Count: 144
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