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[PDF] Top 20 An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem

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An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem

An adjustable sample average approximation algorithm for the stochastic production-inventory-routing problem

... for an inventory routing problem with uncer- tain ...of the inventory routing optimization problem where customer demand rates and travel times are ... See full document

28

A hybrid heuristic for a stochastic production-inventory-routing problem

A hybrid heuristic for a stochastic production-inventory-routing problem

... when the SAAP is not solved to optimality for each sample, then the use of a commercial solver based on a branch and cut algorithm with a running time limit acts as a heuristic which may lead ... See full document

10

Inventory routing under uncertainty

Inventory routing under uncertainty

... When the SAA problems are not solved to optimality for each sample, theoretical results on conver- gence fail and the SAA method acts as a ...on the assumption that one cannot solve e ... See full document

237

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

... genetic algorithm will find good solutions in reasonable amount of time, but increases in time to find solutions if they are applied to harder and bigger ...this problem we will go for parallel ... See full document

4

Optimizing base stock levels and profits of a two-echelon inventory problem with stochastic demand

Optimizing base stock levels and profits of a two-echelon inventory problem with stochastic demand

... plays an important role in supply chain management to optimize ...two-echelon inventory system under demand uncertainty. The system consists of one factory warehouse at the upper echelon and ... See full document

8

An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

... developed an inventory model by considering continuous review system and assumed that demand follows a Poisson ...generalized the main results of ...generalized the model to a stationary ... See full document

20

A bayesian nonparametric approach for the two-sample problem

A bayesian nonparametric approach for the two-sample problem

... ). The method developed by Behrens and Fisher consists in comparing the means of the characteristic of interest that is measured on two samples from different populations assumed normally ... See full document

55

An approximation formula for the Katugampola integral

An approximation formula for the Katugampola integral

... Abstract. The objective of this paper is to present an approximation for- mula for the Katugampola fractional integral, that allows us to solve fractional problems with dependence on this type ... See full document

8

An Exact Algorithm for the Maximum Weight K3-free Subgraph Problem

An Exact Algorithm for the Maximum Weight K3-free Subgraph Problem

... set problem, and is also equiv- alent to the maximum weight clique problem for the complementary graph of ...(namely, the maximum independent set problem and the maxi- mum ... See full document

4

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

... Vehicle Routing Problem with Backhauls (MDVRPB) is an operational problem of the supply chain ...management. The MDVRPB considers a supply chain involving two echelons: depots ... See full document

14

13 Logistics: The Vehicle Routing Problem

13 Logistics: The Vehicle Routing Problem

... that the behavior of our cellular algorithm with merged mu- tation plus local search is very satisfactory since it obtains the best-known solution in most cases, or values very close to it, for all ... See full document

12

An Efficient Algorithm For Variant Bulk Transportation Problem

An Efficient Algorithm For Variant Bulk Transportation Problem

... share the following properties: They are Optimization Problems, are easy to state, and have a finite but usually very large number of feasible ...far the mostly used tool for solving large scale NP-hard ... See full document

6

Iterated local search algorithm for the vehicle routing problem with backhauls and soft time windows

Iterated local search algorithm for the vehicle routing problem with backhauls and soft time windows

... of the parameters have been defined based on some experiments with the group of test problems that are faster to solve, ...i.e., the problems with N = 100. Besides, because most of the ... See full document

16

A biased-randomized heuristic for the home healthcare routing problem

A biased-randomized heuristic for the home healthcare routing problem

... concerning the HHRP were published between 1998 and 2006 and addressed the problem in a national context and proposed decision support systems (DSS) that integrated GIS ...technology. The ... See full document

10

A genetic algorithm for the ligand-protein docking problem

A genetic algorithm for the ligand-protein docking problem

... With the increasing amount of molecular biological structures available, docking approaches have been very important and useful tools in structure-based rational drug discovery and design (Gane and Dean, ... See full document

6

An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting

An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting

... for approximation of temporal video data by linear Bezier fitting. The proposed method is suitable for lossy compression of temporal video ...data. The method fully automates the fitting ... See full document

14

Stochastic Symplectic Approximation for a Linear System with Additive Noises

Stochastic Symplectic Approximation for a Linear System with Additive Noises

... with the School of Mathematical Sciences, Graduate University of Chinese Academy of Sciences, Beijing 100049, ...by the NNSFC No.11071251, and the Director Foundation of ... See full document

6

A Genetic Algorithm for the Undirected Rural Postman Problem

A Genetic Algorithm for the Undirected Rural Postman Problem

... RPP: routing of newspapers, post delivery, the collection of household refuse or parking meter coins, street sweepers, school buses, and the inspection of electric power or oil or gas pipelines, see ... See full document

13

Average Monthly Appraisal of Inventory Management Policy Using the Probabilistic Model

Average Monthly Appraisal of Inventory Management Policy Using the Probabilistic Model

... guiding inventory control management, are Russell and Taylor III [2] who wrote that the objective of inventory management has been to keep enough inventory to meet customer demand and also be ... See full document

7

Sample size for estimate the average of Passiflora caerulea fruits traits

Sample size for estimate the average of Passiflora caerulea fruits traits

... correct sample size dimensioning (number of plants and/or number of fruits) is required to have reliability in results obtained in research involving ...(2011), the sample size is proportional to ... See full document

8

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