Objective functions model structure with 2 parameters
A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... http://dx.doi.org/10.4236/ajor.2016.61002 How to cite this paper: El-Hady Kassem, M.A., Tarabia, A.M.K. and El-Badry, N.M. (2016) A Modified Interactive Stability Algorithm for Solving Multi-Objective NLP Problems ...
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Objective Functions for Feature Discrimination
... their geometric aspects against their photometry. 3 Photometry: Computing F T w o of the main characteristics of an object in an i m - age are its interior photometry and its contrast w i t h the background, which ...
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A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters
... This model also considers the alternative routing, alternative process plan, operation sequence, machine relocation, machine duplication, cell number flexibility, outsourcing possibility, inter-cell and intra-cell ...
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Mathematical Model for Bi-objective Maximal Hub Covering Problem with Periodic Variations of Parameters
... structure's parameters of the problem such as origin-destination flows, costs and travel time, change periodically in the real world applications, new issues arise in handling ...of parameters, a ...
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Calculation of model Hamiltonian parameters for LaMnO3 using maximally localized Wannier functions
... Wannier functions 共 MLWFs 兲 based on Kohn-Sham band structures provide a very robust and systematic way to construct realistic, materials-specific tight-binding models for further theoretical ...used model ...
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Multi-objective optimization using differential evolution for dynamic model structure selection
... some parameters should be defined properly in ...the structure will becomes complex and consequently causes excess computational ...This model will not guarantee to give good predictive accuracy due ...
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Spin Structure Functions
... Q 2 . Since the GDH sum rule at Q 2 = 0 predicts a large negative value, a drastic turn around should happen at Q 2 lower than ...GeV 2 . A simple model using MAID plus quasi-elastic ...
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Monotone comparative statics with separable objective functions
... 5. Application: Bayesian Cournot games This section deals with equilibrium existence in the undi¤erentiated Cournot model with a¢ liated types. A pure strategy Nash equilibrium is known to exist regardless of ...
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Solving a bi-objective manpower scheduling problem considering the utility of objective functions
... two objective functions: minimizing the costs and maximizing the service ...MILP model for multiple-shift workforce planning with several objectives, such as: balancing the workload of employees and ...
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Multi-objective Optimization Proposal with Fuzzy Coefficients in both Constraints and Objective Functions.
... in objective functions and constraints can be given by the decision-maker according to his subjective judgements, or by means of statistic inference based on historical ...the model formulation ...
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Calibration of the modified Bartlett Lewis model using global optimization techniques and alternative objective functions
... BL model is preferable (Verhoest et ...BL model by Rodriguez-Iturbe et al. (1987a), this model has been sub- jected to a number of modifications and ...
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Presentation of a Novel Integrated DEA-BSC Model with Network Structure in Multi Objective Programmig
... 3-2-5 The Effect of Internal Process on Customer Internal processes such as the receipt and payment processes, facilities, foreign exchange services, providing bank guarantees, transactions, all of them are ...
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Determination of the proton spin structure functions for 0.05 < Q(2) < 5GeV(2) using CLAS
... The simple event builder (SEB), used for offline reconstruc- tion of an event, used geometric parameters and calibration constants to convert the TDC and ADC data into kinematic and particle identification data. ...
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A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming
... http://dx.doi.org/10.1007/BFb0042790 [4] Ruan, G.Z. and Huang, X.X. (1992) Weak Calmness and Weak Stability of Multiobjective Programming and Exact Penalty Functions. Journal of Mathematics and System Science, 12, ...
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Predictions for neutrino structure functions
... In Fig. 1 we have plotted the quantity ⌬ xF 3 for an isos- calar target computed to order ␣ s 1 . For comparison, we also display data from the CCFR analysis. 关 1 兴 We observe the trend that the theory lies ...
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The Structure of a Network and Its Functions
... a structure of the connector in complex with DNA, the diversity in DNA-loop interactions will cause the 12 connector loop structures to slightly differ from each other because of the lack of 12-fold symmetry in ...
Efficient Selection of Design Parameters in Multi-Objective Economic-Statistical Model of Attribute C Control Chart
... Table 2, two combinations of design parameters have received efficiency score 1 and thus are offered to the DM for final ...[3] model). Selected two efficient units by the proposed model have ...
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smoof: Single- and Multi-Objective Optimization Test Functions
... the structure of the search space, there may be multiple or even infinitely many global optima, ...3, 2 ) T are not comparable. In the field of multi-objective optimization we are thus interested in ...
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Alternative Objective Functions for Training MT Evaluation Metrics
... one objective (sentence or corpus level), can not only harm the performance on the other objective, but it can also be subopti- mal for the objective being ...a model trained to optimize both ...
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An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem
... with objective parameters, the paper presents an interactive algorithm to solve the inequality constrained multi-objective programming ...single objective optimal problem (SOOP) with ...
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