[PDF] Top 20 The P-Center Problem under Uncertainty
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The P-Center Problem under Uncertainty
... small uncertainty in data can make the acquired optimal solution completely ...with uncertainty that were feasible for all parameters that change in a specific ...Quadratic problem which was not ... See full document
10
Classical Center Location Problem Under Uncertain Environment
... the uncertainty theory are intro- duced. In Section 3, the p-center location prob- lem on general networks, the 1-center and the 2- center location problems on unweighted trees are ... See full document
10
Hotel Location Problem Using Erlang Queuing Model under Uncertainty (RESEARCH NOTE)
... tourism center is ...tourism center, these hotels would receive a lower room price for the occupied ...tourism center is suitable when the overall arrival rate of customers to the city is ... See full document
9
A Robust Optimization Methodology for Multi-objective Location-transportation Problem in Disaster Response Phase under Uncertainty
... The three main objectives are illustrated by Equations (1)-(3). First objective function minimizes transportation time, the second objective function minimizes unsatisfied demands and the third objective function ... See full document
9
Supplement to "Belief heterogeneity in the Arrow Borch Raviv insurance model"
... f P B pGq, if A is any sub-σ-algebra of G such that σ t f u Ď A, and if P is any probability measure on the measurable space pS, Aq, it will be said that f is a continuous random variable for P when ... See full document
19
A fuzzy two-stage capacitated continuous p-centmedian vehicle routing problem: A self-adaptive evolutionary
... continuous p-center and p-median (namely p-centmedian) problem is ...location problem is studied to compare the differences between the p-center and p-median ... See full document
16
Terminal Location Models for Intermodal Transport Network Optimization
... The p-hub center problem was introduced by ...nearest center. Ac- cording to Campbell (1994) p-HCP can be characterized by three main objective functions; the first is to minimize the ... See full document
9
Democracy under uncertainty: The ‘wisdom of crowds’ and the free rider problem in group decision making
... Consistent with the simulation, mean proportions of the coherent choices (searcher/voter hybrids and non-searcher/abstainer hybrids) increased over time, reaching nearly 100% coherence in the last block. A 2 (condition) ... See full document
95
Mathematical model for P-hub location problem under simultaneous disruption
... location problem, is Drezner's paper (Drezner 1987). He extended median and center location problem by considering the possibility of inactivating one or more ...for p-median and uncapacitated ... See full document
12
Solving a Bi-Objective Multi-Product Vehicle Routing Problem with Heterogeneous Fleets under an Uncertainty Condition
... As mentioned before, this paper aims at minimizing the cost of purchasing the vehicle, fuel consumption and shortage as the first objective function and minimizing the shortage of products (i.e., negative inventory) as ... See full document
19
Genetic Algorithm-Based Optimization Approach for an Uncapacitated Single Allocation P-hub Center Problem with more realistic cost structure
... hub center problems with either single or multiple allocations was conducted by Ernst et ...the problem of finding an optimal single allocation with integer programming formulations for both ...allocation ... See full document
17
Robust portfolio selection problem under temperature uncertainty
... Normality Tests: Next, we proceed by regressing the error terms against the quantiles of a standard normal distribution. The residuals obtained from the regression analysis represent error rates in the temper- ature ... See full document
43
Uncapacitated phub center problem under uncertainty
... of uncertainty and used direct approach for ...location–allocation problem, whom its first objective minimizes total cost and its second objective is to minimize the summation of shipping times ‘of ... See full document
17
Collision avoidance as a robust reachability problem under model uncertainty
... the uncertainty in the observations and initial conditions as confidence intervals on the observed ...the uncertainty space (Γ, L, M), with Γ a non empty set, L a σ-algebra over Γ, and M an ... See full document
16
Location planning of urban distribution center under uncertainty: A case study of Yogyakarta Special Region Province, Indonesia
... ambiguity, uncertainty, and imprecise input or knowledge among decision makers (Dernoncourt, ...tackle problem areas which combine numerical (mathematical) with symbolic/linguistic ...distribution ... See full document
27
Uncertainty, Reliance, Preliminary Negotiations and the Holdup Problem
... Uncertainty, Reliance, Preliminary Negotiations and the Holdup Problem SMU Law Review Volume 61 | Issue 4 Article 3 2008 Uncertainty, Reliance, Preliminary Negotiations and the Holdup Problem Juliet P[.] ... See full document
65
Sharp uncertainty relations for number and angle
... measurement uncertainty so far have not been found, and it would be highly desirable to find such ...measurement uncertainty is always larger than preparation uncer- ...preparation uncertainty bounds ... See full document
29
Pro Consumer Price Ceilings under Regulatory Uncertainty
... regulatory uncertainty does not eliminate the scope for intervention with a price ...su¢cient uncertainty calls for softer intervention, with the price ceiling set at a relatively high ...if ... See full document
27
The daily tail assignment problem under operational uncertainty using look ahead maintenance constraints
... assignment problem is a critical part of the airline planning process that assigns specific aircraft to sequences of flights, called lines-of-flight, to satisfy operational ...operational uncertainty by ... See full document
31
A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty
... [11] developed an integrated model based on dynamic approach which integrates some properties of existing models in a single model consisting reliability, machine breakdown, production planning, production cost and ... See full document
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