The No-wait Flowshop Problem with Sequence Dependent Setup times and Release Dates
نویسندگان
چکیده
Population based metaheuristics, such as hybrid genetic algorithms or memetic algorithms, play an important role in the solution of combinatorial optimization problems. The memetic algorithm presented here for the no-wait flowshop scheduling problem addresses a hierarchically organized complete ternary tree to represent the population that putted together with a recombination plan resembles a parallel processing scheme for solving combinatorial optimization problems. We propose a novel recursive local search scheme Recursive Arc Insertion (RAI) which is responsible for about 90% of the total processing time of the algorithm. Randomly generated instances are used to test the algorithm against other proposed methods.
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