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• Optimal Bio Marine Fuel production from renewable and environmentally friendly resources. • Optimal raw materials mixtures using adaptive genetic algorithm. • Main ingredients: rap oil, sun oil, animal fat acid, olive oil cooked. • Ingredient Percentage Local Search exploring efficiently the area surrounding the optimal ingredients percentage. • Saving time and cost of a demanding experimental laboratory procedure. The present paper proposes an evolutionary computation based approach for solving raw materials mixtures optimization problems in Bio Marine Fuel (BMF) production. Last decades Biodiesel has become more attractive because it produced from renewable and environmentally friendly resources. The main ingredients of industrial biodiesel are rap oil, sun oil, animal fat acid, olive oil cooked. In this work, a new genetic algorithm is proposed which investigates initially the ingredients percentages in the mixtures, in order to optimally create their combinations as Biodiesel fuel. The optimal Biodiesel, in second phase, is used for the BMF production, without degrading the new fuel final quality. This new BMF has lower sulfur content and its consumption reducing the pollutant emissions. Apart from the environmental benefits that BMF provides, it is neither time consuming nor expensive as the desulphurization process. The innovation of the proposed approach is related to certain genetic operations applied like crossover for the improvement of the solution quality from generation to generation. Furthermore, the proposed solution can be produced in the laboratory, saving time and cost of a demanding experimental procedure. Detailed experiments with minimum and maximum ingredients cost produce highly accurate Biodiesel mixtures. The optimal mixture obtained by GA has been compared with 10 Biodiesel mixtures produced on Laboratory, in order to provide competitive fuel prices. In addition, 4 BMF categories have been examined. Categories which combine Biodiesel (B) and Marine Fuel (MF): 1) Mix 10%: B 10% + MF 90%, 2) Mix 15%: B 15% + MF 85%, 3) Mix 20%: B 20% + MF 80% and 4) Mix 25%: B 25% + MF 75%. GA results improve the BMF prices form 0.22% − 5.86% per liter. The experimental results of methodology proves capable of coping even with mixture optimization problems. [ABSTRACT FROM AUTHOR]