Abstract
In the double row layout problem, we wish to position n machines on two parallel rows in order to minimize the cost of material flow among machines. The problem is NP-hard and has applications in industry. Here, an algorithm is presented, which works in two phases: (1) applying an improvement heuristic to optimize a random double row layout of a certain type and, then, (2) adjusting the absolute position of each machine in the layout via Linear Programming. Four variants of this two-phase algorithm are proposed and their efficiency is demonstrated by computational tests on several instances from the literature with sizes up to 50 machines.
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