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- W2337862504 abstract "In general, many of the problems that we must resolve in real life must be addressed in a multiobjective way because we often have conflicting objectives (particular objective functions) where it is possible to compute more than one optimal solution. Such solutions are called nondominated or Pareto-optimal solutions. Each Pareto-optimal solution can be considered as a final “compromise” solution of a multiobjective optimization (MOO) problem because it has no a priori advantage over other Pareto-optimal solutions. Therefore, the ability to compute the maximum possible Pareto-optimal solutions is very important. The purpose of multiobjective optimization is ideally to generate the set of solutions involving optimal trade-offs among the different objectives." @default.
- W2337862504 created "2016-06-24" @default.
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- W2337862504 date "2015-12-01" @default.
- W2337862504 modified "2023-09-23" @default.
- W2337862504 title "Multiobjective Optimization in Thermal Food Processing" @default.
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- W2337862504 doi "https://doi.org/10.1007/978-3-319-24904-9_20" @default.
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