An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon)
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Publication:4653720
DOI10.1080/00207160412331296733zbMath1079.90088OpenAlexW1976976804WikidataQ115006829 ScholiaQ115006829MaRDI QIDQ4653720
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Publication date: 7 March 2005
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160412331296733
Mixed integer programming (90C11) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (7)
On optimal partially integrated production and marketing policy with variable demand under flexibility and reliability considerations via genetic algorithm ⋮ Integrating deterioration and lifetime constraints in production and supply chain planning: a survey ⋮ An application of genetic algorithm in solving an inventory model with advance payment and interval valued inventory costs ⋮ An application of real-coded genetic algorithm (RCGA) for mixed integer nonlinear programming in two-storage multi-item inventory model with discount policy ⋮ Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization ⋮ An application of genetic algorithm in a marketing oriented inventory model with interval valued inventory costs and three-component demand rate dependent on displayed stock level ⋮ A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints
Cites Work
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