Results 81 to 90 of about 2,383 (113)
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International Conference on Climate Informatics, 2021
Sensitivity analysis is designed to study the effect on the optimal solution of changes in model parameters. This analysis is known to be an integral part of any real‐life problem solving.
Suresh Mohan +2 more
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Sensitivity analysis is designed to study the effect on the optimal solution of changes in model parameters. This analysis is known to be an integral part of any real‐life problem solving.
Suresh Mohan +2 more
semanticscholar +1 more source
Journal of Enterprise Information Management, 2018
Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM) clustering and Nelder–Mead (NM) simplex algorithm, called as RWFCM-NM, for generalized multisource Weber problem (MWP).
Tarık Küçükdeniz, Şakir Esnaf
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Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM) clustering and Nelder–Mead (NM) simplex algorithm, called as RWFCM-NM, for generalized multisource Weber problem (MWP).
Tarık Küçükdeniz, Şakir Esnaf
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Improving a primal–dual simplex-type algorithm using interior point methods
Optimization, 2018Interior point methods and simplex-type algorithms are the most widely-used algorithms for solving linear programming problems. The simplex algorithm has many important applications.
Themistoklis Glavelis +2 more
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A quadratic simplex algorithm for primal optimization over zero-one polytopes
Discrete Applied MathematicsA quadratic simplex algorithm tailored to the primal optimization over the vertices of zero-one polytopes is presented. It computes a locally optimum basic feasible solution and it so generalizes over local improvement heuristics for corresponding ...
Sven Mallach
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Linear Programming dengan Metode Primal Simplex Kasus Minimasi (Studi Kasus UMKM Ice Cream Putri)
Jurnal Nuansa : Publikasi Ilmu Manajemen dan Ekonomi SyariahMicro, Small, and Medium Enterprises (MSMEs) have a significant role in the economy, including MSMEs in the culinary sector such as Putri Ice Cream Business. Decision making related to optimal resource allocation is crucial to increase the efficiency and
Pesta Gultom +4 more
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Primal-dual algorithm for contextual stochastic combinatorial optimization
arXiv.orgThis paper introduces a novel approach to contextual stochastic optimization, integrating operations research and machine learning to address decision-making under uncertainty.
Louis Bouvier +3 more
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Industrial laboratory Diagnostics of materials
A comparative analysis of the computational complexity of exact algorithms for estimating linear regression equations was conducted using the least absolute deviation method.
O. A. Golovanov, A. N. Tyrsin
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A comparative analysis of the computational complexity of exact algorithms for estimating linear regression equations was conducted using the least absolute deviation method.
O. A. Golovanov, A. N. Tyrsin
semanticscholar +1 more source
Algorithms
Aggregate production planning (APP) helps medium-term production, manpower, inventory, and subcontracting decisions match expected demand. Deterministic planning models are generally ineffective in manufacturing due to demand and operational variability.
P. Aungkulanon +3 more
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Aggregate production planning (APP) helps medium-term production, manpower, inventory, and subcontracting decisions match expected demand. Deterministic planning models are generally ineffective in manufacturing due to demand and operational variability.
P. Aungkulanon +3 more
semanticscholar +1 more source
A dual simplex method for bounded linear programmes with fuzzy numbers
International Journal of Mathematics in Operational Research (IJMOR), 2010A. Ebrahimnejad, S. Nasseri
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