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Published in 2020 at "Operational Research"
DOI: 10.1007/s12351-020-00574-6
Abstract: Systems can be unstructured, uncertain and complex, and their optimisation often requires operational research techniques. In this study, we introduce AUGMECON-R, a robust variant of the augmented ε-constraint algorithm, for solving multi-objective linear programming problems,…
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Keywords:
objective linear;
multi objective;
method;
linear programming ... See more keywords
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Published in 2017 at "Acta Mathematica Vietnamica"
DOI: 10.1007/s40306-015-0164-6
Abstract: Most of the known methods for finding the efficient set of a multiple objective linear programming (MOLP) problem are bottom-up search methods. Main difficulties of the known bottom-up search methods are to find all efficient…
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Keywords:
objective linear;
multiple objective;
bottom search;
method ... See more keywords
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Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.124950
Abstract: Abstract Production of high volumes of wastewater by hydraulic fracturing operations is a challenging issue in the unconventional gas industry in North America. A scheduling-based solution is required to optimally manage the produced wastewater. This…
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Keywords:
objective linear;
multi objective;
hybrid multi;
wastewater ... See more keywords
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Published in 2023 at "Journal of Interdisciplinary Mathematics"
DOI: 10.47974/jim-1651
Abstract: In this article, we are discussing a rough multi-objective linear fractional transportation problem (RMOLFTP). In Day-to-day life, we frequently encounter many situations where the transportation problems are represented by a rough set. The main aim…
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Keywords:
problem;
fractional transportation;
objective linear;
multi objective ... See more keywords