An Adaptive Immune Algorithm Based on Regulation Laws of Hormone in the Endocrine System for Scheduling Problems of Flow Shop

摘要

A new model which describes the flow shop scheduling problems with unlimited intermediate storage in the batch plant is constructed. A novel adaptive endocrine & immune algorithm (EIA) is first proposed based on the regulation laws of hormone in the endocrine system. The simulation results show the convergence rate and search precision of EIA are better than those of the improved immune algorithm, thus verifying the validity and excellence of EIA approach.