Development and Improvement of the SLA* Three-Machine Flow-Shop Scheduling Algorithm

J.P.-O. Fan (Australia)

Keywords

threemachine flowshop Scheduling, heuristic search.

Abstract

This paper describes the development of an intelligent search strategy for solving the three-machine flow-shop scheduling problem. The method involved is based on a heuristic search algorithm SLA* (Search and Learning A*) which was derived and improved from the IDA* (Iterative Deepening A*) algorithm developed by Korf in 1985. In addition to solving the three-machine flow-shop scheduling problem, we have also developed two improvements. The first is related to the calculation of heuristic estimates during the search process for flow shop scheduling problems, and the second is an improved heuristic function for the calculation of the initial heuristic estimates at the beginning of the search process for three-machine problems. This algorithm will be suitable for many industrial problems especially in production scheduling and logistics.

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