Multi-objective optimization based on the utopian point method applied to a case study of osmotic dehydration of plums and its storage

摘要: Abstract In this study, authors present the results of multi-objective optimization parameters osmotic dehydration plum and its storage conditions. Multi-objective is a method multiple criteria decision making involving more than one objective function to be optimized simultaneously. The functions are conflicting an infinite number Pareto optimal solutions possible. A solution if none can improved in value without degrading some other values. All considered equally good, choice subjective. To limit subjectivism Utopian point Multidimensional Euclidean metrics was applied. idea minimize distance between non-existing Pareto-optimal solutions. This approach offered relation cost solution, time process, duration by considering following factors: content dry mass, reducing sugars, extract, as well amount leak after thawing. Authors made minimizing with simultaneous maximization quality product. were obtained use MATLAB program. Furthermore, multidimensional preferences applied find set best for production process. Two sets obtained. First process minimizing: concentration solution: 0.55%; draining:, 1 h 42 min; cold storage: 6 months; thawing: microwave. Second focused on are: 0.65%; draining:3 h; 5 months 21 days;