Objective function for the adsorption model
Model Performance Sensitivity to Objective Function during Automated Calibrations
... as objective function for single objective calibration applications; (3) objective functions in Group I and those in Group II complement each other ’s performance quite ...one objective ...
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Imputing a Convex Objective Function
... an objective function is a prac- tical problem that arises frequently, and is closely related to problems in machine learning, dynamic programming, robotics, and ...convex objective function, ...
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Energy distribution function based universal adsorption isotherm model for all types of isotherm
... the adsorption isotherms, the adsorption phenomenon has many industrial and envir- onmental ...These adsorption isotherms are very important to define the information related to the equilibrium ...
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A multi-objective genetic algorithm for the design of pressure swing adsorption
... misation of PSA processes is desirable (Nilchan and Panthelides 1998, Biegler et al. 2004) to allow the enhancement of the performance of PSA cycles, and subsequently to expand the application of the process. Section 2 ...
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Design Complexity for Objective Function Points
... automated Function Point counter that reads actual source code to extract UML definition such as inheritances, associations and attributes to derive the ...the Objective Function Point counter that ...
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A New Objective Function for Word Alignment
... our objective function and alignment accu- ...several objective function values v, by first adding a constraint that dict variables add to exactly v, then iterating the n-best list procedure ...
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Externalities, Monopoly and the Objective Function of the Firm
... to a Pareto improvement on the Walrasian equilibrium. Returning to the monopoly problem, similar reasoning shows that if the control group are consumers of the …rm’s products and the monopolist uses uniform pricing then ...
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Meta Model for Optimum Design Objective Function of Steel Frames Subjected to Seismic Loads
... implicit objective functions where structural analysis and design are essential within each searching ...regression model used to transform an implicit objective function into objective ...
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A Theorem on the Decentralization of the Objective Function of the Firm in GEI
... equilibrium model with endogenized asset structures and incomplete income transfer ...the objective function introduced in Dr` eze (1974) and Grossman and Hart (1979), which is not independent of an ...
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OPTIMIZATION OF AN OBJECTIVE FUNCTION BY USING GENETIC ALGORITHM
... fitness function of the new solution is better than the fitness function of the current one, the new solution is accepted as the new current ...fitness function is not improved, the new solution is ...
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A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming
... penalty function with objective parameters and constraint penalty pa- ...penalty function with objective parameters and constraint penalty parameter for MP and the corresponding unconstraint ...
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Handling ill-posedness and overparameterization of rational function model using Bi-objective particle swarm optimization
... rational function model (RFM), makes it difficult to determine rational polynomial coefficients ...two objective functions that should be minimized: 1) the Root Mean Square Error (RMSE) over some of ...
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Visualization of multi-objective decisions for the optimal design of a pressure swing adsorption system
... of objective functions seem most appropriate ...of objective functions is not available their concavity cannot be ...the objective functions; their nu- merical estimation would take too much of ...
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A Novel Objective Function for Directional Overcurrent Relays Coordination
... The main aim of DOCRs coordination problem is to determine the TMS of each relay and minimizing the operating time of the main relays.. On the other hand, the constrai[r] ...
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Autonomous Bee Colony Optimization for Multi-objective Function
... problems such as Rastrigin’s function [14]. We propose a self-adaptive mechani namically update ŋ c . Here we assume the optimal diversity performance (i.e., α=1.0) could only be achieved when the solution set is ...
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Structural Optimization by Spherical Interpolation of Objective Function and Constraints
... Hence, the method uses the radii of curvature, which are the radii of the spheres which are tangent to the given n-dimensional functions of constraints and objective function. At the tangent point of each ...
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A multi-objective hyper-heuristic based on choice function
... choice function based hyper-heuristic (HH CF) is tested over both benchmark test problems ...multi- objective vehicle crashworthiness design problem as a real-world prob- ...
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A Fast Algorithm for Computing the Deceptive Degree of an Objective Function
... We prove a fast decision theorem of whether a monomial has deception about a variable in it, which makes computing the deceptive degree of a function easier. In the final, we describes the fast algorithm and ...
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A multi objective hyper heuristic based on choice function
... choice function based hyper-heuristic (HH CF) is tested over both benchmark test problems ...multi- objective vehicle crashworthiness design problem as a real-world prob- ...
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A Diversity Promoting Objective Function for Neural Conversation Models
... This objective function, common in related tasks such as machine translation, may be unsuited to generation tasks involving intrinsically diverse ...
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