The Objective Function for Axial Data
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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Axial muscle function during lizard locomotion
... The kinematics of lateral trunk bending have been studied in relatively few lizard species (Daan and Belterman, 1968; Ritter, 1992), but two general conclusions are apparent. First, there is much variation in lateral ...
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Cluster Interfaced Objective Function for Decision Tree Classifiers for Mining Data with Uncertainty
... goal function and ...intention function, the entire depend variety of entropy calculations consists of the quantity of calculated lower ...Interfaced objective function, it's miles recognized ...
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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
... 4.1 Model The model is similar to that of section 2, the main modi…cations being that we assume no externalities and allow the monopolist to price discriminate. For perfect price discrimination to be possible it is ...
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A NON-ELITIST MULTI OBJECTIVE GENETIC ALGORITHM FOR AXIAL COMPRESSOR STAGE OPTIMIZATION
... sharing function value for stage optimization of axial ...multi objective problem are Stage Efficiency, Inlet stage specific Area & Stall margin ...optimization axial compressor stage taking ...
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A Theorem on the Decentralization of the Objective Function of the Firm in GEI
... the objective function introduced in Dr` eze (1974) and Grossman and Hart (1979), which is not independent of an exogenously assigned present value derived from the utilities of the owners of the ...
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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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Proposed Credit Data Law, Chapter A: Objective. Objective
... For the purpose of performing his duties, after consulting with the committee appointed under Article D, the Supervisor is authorized to take the following actions: (a) To issue directives concerning the activities and ...
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Evolution of the axial system in craniates: morphology and function of the perivertebral musculature
... The axial musculoskeletal system represents the plesiomorphic locomotor engine of the vertebrate body, playing a central role in ...the axial skeleton became increasingly functionally and morphologically ...
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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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Multi-objective optimum stator and rotor stagger angle distributions of an axial turbine stage
... 1 1.818 90.86 -0.60 0.86 2 1.82 90.85 -0.49 0.85 at a single operating point are shown. The GA provides higher eciency but lower pressure ratio after 14 or 16 generations. At the optimum point, the objective ...
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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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