2018
DOI: 10.15587/1729-4061.2018.133405
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Algorithm for the simplification of solution to discrete optimization problems

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Cited by 20 publications
(8 citation statements)
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“…The applied value of the proposed approach is the use of the obtained result to enable the improvement of complex systems described by systems of linear equations with systems of linear constraints [19]. A large number of mathematical models in project management have a description of linear optimization problems.…”
Section: Discussion Of the Results Of The Study Of Dual Problemsmentioning
confidence: 99%
“…The applied value of the proposed approach is the use of the obtained result to enable the improvement of complex systems described by systems of linear equations with systems of linear constraints [19]. A large number of mathematical models in project management have a description of linear optimization problems.…”
Section: Discussion Of the Results Of The Study Of Dual Problemsmentioning
confidence: 99%
“…The organizational maturity of projects is investigated, in particular the success of realization of programs and portfolio of projects [13]. The process of algorithmization of simplifica tion the solutions for discrete problems of optimization of the projects is described [14]. The application of the method for synthesis of project management methodology with fuzzy in put data is investigated [15].…”
Section: Information Technologies Systems Analysis and Administrationmentioning
confidence: 99%
“…The methods of discrete optimization problems solution that have been developed by now require development of algorithms which allow obtaining an approximate solution with guaranteed estimate of deviation from the optimum. Simplification algorithms in discrete optimization problems provide an efficient method of searching for an optimization problem solution [16,17,18]. Should a multidimensional process be projected onto the twodimensional surface, this will enable visualization of the acceptable set (array) of the problem parameters.…”
Section: Statement Of the Problemmentioning
confidence: 99%
“…We can make a lower-and an upper-bound estimate of the problem target function values and dynamically evaluate the possibility to diversify basis optimum variables with guaranteed accuracy. Solving contradictions between requirements to completeness of modelling views in active systems and methods of obtaining solutions of their mathematical models is possible due to reasonable reduction of the algorithms of complicated equation systems solution [17]. Lack of problem solution as regards searching for solutions in discrete optimization problems consists in the need for developing and implementing the procedure of simplifying the combinatorial solution of a discrete optimization problem.…”
Section: Statement Of the Problemmentioning
confidence: 99%
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