Cost Functions and Optimization
Cost functions for mainline train operations and their application to timetable optimization
... The cost functions developed in previous section are applied to formulate a multi-objective opti- mization ...The optimization aims to determine the train timetable, in terms of arrival τ n,s and ...
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Improved Dynamic Harmony Search Optimization for Economic Dispatch Problems with Higher Order Cost Functions
... Abstract This paper presents a modified harmony search algorithm with dynamica lly varying bandwidth, named improved dynamic harmony search algorithm (IDHSA) for economic load dispatch (ELD) proble ms with higher ...
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Pushing the Envelope of Optimization Modulo Theories with Linear-Arithmetic Cost Functions
... –whose cost ub improves the previous upper bound by construction– we empty the stack of LRIA-Solver, push there a new cut in the form (cost < ub) and restart the ...optimum cost value in µ to the SMT ...
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Cost Functions for Assessment of Vehicle Dynamics
... complex cost function having three main attributes: (i) dimensionless form, (ii) range from 0 to 1, and (iii) weighting factors for each individual ...complex cost functions are assessment of vehicle ...
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Online Learning for Global Cost Functions
... tion functions [7] and wide range regret ...the cost function is linear and the optimization oracle can be computed in poly- nomial time, and extended by [14], to the case where we are given only an ...
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Alternate Approximation of Concave Cost Functions for
... 2 Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A. ABSTRACT. This short note presents an alternate approximation of concave cost functions used to reflect ...
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Learning to Rank with Nonsmooth Cost Functions
... target cost function would be to search for an optimiza- tion function which is a good approximation to the target cost, but which is also ...retrieval cost functions makes this problematic. ...
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Optimizing cost-efficiency in mean exposure assessment - cost functions reconsidered
... available. Optimization using numerical procedures evidently precludes any explicit mathematical representation of ...of cost-efficiency optimization, this implies that extensive data, not available ...
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Automated, Parallel Optimization Algorithms for Stochastic Functions
... the cost function for any parameter set can be evaluated independently from the rest of the parameter ...individual cost functions for N s different systems is usually a time-consuming part but each ...
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COST OPTIMIZATION OF ALLOCATING VIRTUAL NETWORK FUNCTIONS WITH PRECEDENCE IN MULTICAST NETWORKS
... The main aim of this report is to design an optimal routing and VNF placement algorithm for the virtual networks that support multicasting topology, where the optimality criterion is to minimize capital and operational ...
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Optimization of Convex Risk Functions
... We assume that Ω is a certain space and that an uncertain outcome is represented by a function X : Ω → R. To focus attention, from now on we assume that the smaller the values of X, the better; for example X may ...
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Transportation Cost Optimization
... the optimization of the supplier selection problem using discrete firefly algorithm is showing a firefly optimization based algorithm which helps to choose the proper suppliers in a case of given order ...
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Geometric optimization and sums of algebraic functions
... We repeat this sliding process along the edge that intersects R 1 , and we obtain a ray R 2 with cost at most κ(R 0 ), such that R 2 goes through a vertex of a tetrahedron, or through two tetrahedra edges. Hence, ...
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Virtual Network Functions Placement and Routing Optimization
... Abstract—Network Functions Virtualization (NFV) is incre- mentally deployed by Internet Service Providers (ISPs) in their carrier networks, by means of Virtual Network Function (VNF) chains, to address customers’ ...
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Varieties of Cost Functions.
... regular cost functions [9], an other quantitative generalisation of regular ...languages. Cost functions are formally defined as equivalence classes of power series with coefficients in the ...
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Optimization problems for set functions
... Abstract. This paper gives the formal definition of a class of optimization problems, that is, problems of finding conditional extrema of given set-measurable functions. It also formulates the generalization ...
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Quality Adjusted Cost Functions
... Therefore, input prices are common to the cost function (2) and the This is basically the same idea put forth in Bra.eutigarn and Pauly (1986) to develop their test for the endogencity o[r] ...
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Cost Optimization with AWS
... There are two storage types available for EC2 instances: non-persistent or ephemeral storage, which is appropriate for log files and non-critical data, and persistent storage for applications and workloads that require ...
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Fast Convergence Particle Swarm Optimization for Functions Optimization
... velocity of each individual, their own previous best performance, and the best previous performance of their neighbours [6]. In traditional PSO the particle is attracted toward the best position it has visited and ...
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AN ENABLING OPTIMIZATION FOR C++ VIRTUAL FUNCTIONS
... We used a large (3.4 MB) input file to obtain our data. For the Intel machine, our optimization provided no help. In contrast, on the DEC machine, we obtained a signif- icant improvement (15%). The explanation ...
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