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In this paper, we aim to find a solution that reduces the logistical activity costs by using new hybrid meta-heuristics. We develop, in this work, a genetic algorithm (GA) with a hybrid crossing operator. The operator considered is the Order Crossover (OX); we will test our hybrid algorithm in a Periodic Inventory Routing Problem (PIRP). Our study proves the performance of the hybrid operator OX compared with the classic GA, demonstrate the competitiveness of this innovative approach to solvedblp:conf/esann/SakhriTAK18 fatcat:tkeqfm7bijfmdluc4ixhelfkdu