objective functions
Solving a bi-objective manpower scheduling problem considering the utility of objective functions
... Production or non-production environments generally confront employees with different skill levels. Eitzen et al. [38] recommended a model to generate workforce rosters with non-hierarchical skill levels in CS energy’s ...
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Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
... same objective function (Walker, 2005). In the context of RL the objective function is also called the “reward” (Sutton and Barto, ...for objective functions has received little attention so ...
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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... This paper presents a modified method to solve multi-objective nonlinear programming problems with fuzzy parameters in its objective functions and these fuzzy parameters are characterized by fuzzy ...
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On the conditions for valid objective functions in blind separation of independent and dependent sources
... certain objective functions (contrasts), like negentropy, non-Gaussianity (NG) measures, kurtosis, ...of objective functions are valid for their ...density functions and Newton–Raphson ...
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Alternative Objective Functions for Training MT Evaluation Metrics
... Because the most widely available type of hu- man judgments are relative ranking (RR) judg- ments, the main machine learning method used for training the metrics were based on the learning- to-rank framework (Li, 2011). ...
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Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
... ity functions to be expectations (for example, Ncut cannot be expressed as an expectation, it is a ratio of two expectations) nor do we require unbiasedness of the empirical quality ...clustering objective ...
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The Governance Structures of Japanese Credit Associations and Their Objective Functions
... Therefore, the purpose of the present paper is to demonstrate whether Japanese credit associations act to maximise the objective functions that are different from those of regional banks. Specifically, we ...
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(T max ). The problems with those objective functions are proven
... Makespan (maximum completion time) minimization is one of the most dealt objective functions in scheduling area. Tardiness is also another important criterion for most problems. Both problems are proven to ...
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Class Disjointness Constraints as Specific Objective Functions in Neural Network Classifiers
... specific objective on the outputs corresponding to the disjoint classes provide a significant improvement: the classification accuracy of the network for the constraint is improved by 15 to 35 points depending on ...
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Stakeholders Theory and Theory of the Firm: a study on the hierarchy of objective- functions in Brazilian companies
... which objective-function companies should choose, whether that of the shareholders or that of the stakeholders, and whether it is possible to opt for both ...both functions, and there has not been any ...
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Learning automata and sigma imperialist competitive algorithm for optimization of single and multi-objective functions
... Although, most of the real-world optimization problems are multi-objective, it has not gained due attention comparing to single-objective ones. The application of EAs in MOPs was first presented in 1985 by ...
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Parametric design and multi-objective optimisation of containerships
... the objective functions of a multi-objective optimisation problem are herein the energy efficiency design index, the required freight rate, the ship’s zero ballast container box capacity and the ...
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Optimality and Duality Defined by the Concept of Tempered Fractional Univex Functions in Multi-Objective Optimization
... Table 3 shows the evaluation of the tempered fractional multi-objective functions for different values of α. It is clear that the couple (Ψ, Θ) is not (α, λ, ρ, η, ϑ)-type univex at ξ ∈ [0, 1]. It is of (α, ...
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Multi-objective Optimization of Surface Roughness and Material Removal Rate Using an Improved Self-Adaptive Particle Swarm Optimization Algorithm in Milling process
... ABSTRACT: Surface roughness is one of the main characteristics of a work piece in the quality control process. Several parameters such as cutting tool material and geometry, cutting parameters, work piece material ...
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Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions
... multi objective structural ...the objective functions are the weight of the truss and the deflection of loaded joint; the design variables are the cross- sections of the truss members; the ...
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Helicopter Rotor Vibration Reliability Control Analysis
... surrogate objective-functions and constraints are presented in this ...surrogate objective functions was conducted with the multi- island genetic algorithm in iSIHT ...total ...
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Hybrid Poissoflolynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans
... For each measurement realization, we reconstructed an estimate of the attenuation map using 10 iterations of the coordinate ascent algorithms applied to the following objective functions[r] ...
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Solving Definite Quadratic Bi-Objective Programming Problems by KKT Conditions
... the objective functions are convex with positive semi definite matrices P and Q on minimization type of problems and the second objective function controls the decision variable W ...concave ...
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On Fuzzy Multi-Objective Multi-Item Solid Transportation Problems
... the objective functions ( c i j k r p ) and / or supply quantities ( a i p ) and / or demand quantities ( b j p ) and / or conveyance capacities ( e k ) ...
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A Multi-objective Hierarchical Location-allocation Model for the Healthcare Network Design Considering a Referral System
... two objective functions is proposed. The first objective function is to minimize the total opening cost, minimize total setup cost of different types of services and minimize the total traveled ...
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