Conventional optimization methods assume that all parameters and goals of an optimization model are precisely known. But for many practical problems there are incompleteness and unreliability of input information. This is caused to use fuzzy multi-objective optimization method with fuzzy parameters. In this paper, a Fractional Multi-objective Transportation Problem with ...Download Now
Most real life problems are multi objective in nature. These objectives are conflicting (preventing simultaneous optimization) in general. It means that one objective is optimized at the cost of other objective. The multi objective optimization problems are difficult but realistic, because of their broad applicability, optimization problems have been studied ...Download Now
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