Search Results - Stochastic 0–1 integer non-linear programming

Managing product variety with mixed make-to-stock/make-to-order production strategy and guaranteed delivery time under stochastic demand by Kuthambalayan, Thyagaraj S., Bera, Samiran

“…•Modification of cuts, search and branching strategy in Branch & Bound (B&B) method.•Solution of the stochastic 0…”
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Integrating operations and marketing decisions to manage perishability risks with target minimum remaining shelf-life available to consumers by Singh, Nitesh Kumar, Kuthambalayan, Thyagaraj S.

“…•Maximum (Max) remaining shelf-life (RSL) depends on sequencing & capacity allocation.•Product demand decreases from its Max-RSL to a marketing decided minimum…”
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Exact algorithms for the 0–1 Time-Bomb Knapsack Problem by Monaci, Michele, Pike-Burke, Ciara, Santini, Alberto

“…We consider a stochastic version of the 0–1 Knapsack Problem in which, in addition to profit and weight, each item is associated with a probability of exploding and destroying all the contents of the knapsack…”
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Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm by Bhunia, A.K., Sahoo, L., Roy, D.

“… This problem can be formulated as a nonlinear integer programming problem of maximizing the overall system reliability under chance constraints due to resources…”
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Model-based algorithms for the 0-1 Time-Bomb Knapsack Problem by Montemanni, Roberto, Smith, Derek H.

“…A stochastic version of the 0–1 Knapsack Problem recently introduced in the literature and named the 0…”
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Linear formulation for the Maximum Expected Coverage Location Model with fractional coverage by van den Berg, P.L., Kommer, G.J., Zuzáková, B.

“… Straightforward adaption of the well-studied MEXCLP to allow for coverage probabilities results in a non-linear formulation in integer variables, limiting the size of instances that can be solved by the model…”
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Optimization and Separation for Structured Submodular Functions with Constraints by Yu, Jiajin

“… On the integer programming side, where the goal is to find an optimal solution, existing approaches tackle the nonlinearity usually by solving a continuous convex relaxation of the nonlinear function…”
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Introduction to distribution logistics by Brandimarte, Paolo, Zotteri, Giulio

“…unique introduction to distribution logistics that focuses on both quantitative modeling and practical business issues Introduction to Distribution Logistics…”
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