Table of Contents

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.