Introduction to remanufacturing and reverse logistics -- Overview of computational intelligence -- Used products return pattern analysis using agent-based modelling and simulation -- Used product collection optimization using genetic algorithms -- Used product remanufacturability evaluation using fuzzy logic -- Used product pre-sorting system optimization using teaching-learning-based optimization -- Used product delivery optimization using agent-based modelling and simulation -- Post-disassembly part-machine clustering using artificial neural networks and ant colony systems -- Reprocessing operations scheduling using fuzzy logic and fuzzy MAX-MIN ant systems -- Reprocessing cell layout optimization using hybrid ant systems -- Re-machining parameter optimization using firefly algorithms -- Batch order picking optimization using ant system -- Complex adaptive logistics system optimization using agent-based modelling and simulation -- Conclusions and emerging topics.