An Alternating Optimisation Approach for Mixed Discrete
Disjunctive programming for multiobjective discrete optimisation
... multiobjective discrete optimisation problem as a particular case of disjunctive programming where one seeks to identify efficient solutions from within a disjunction formed by a set of ...proposed ...
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Optimisation of Discrete Processes with Bounded Control
... new approach to desi- gning control and the corresponding control algo- rithm, based on the feedback principle, for discrete systems with constraints on the values of the con- ...at discrete time ...
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Discrete particle swarm optimisation for ontology alignment
... In contrast to GOAL, the GAOM system developed by Wang et al. [31] tackles the ontology alignment problem as an optimisation problem, similar to this approach. GAOM utilises a genetic algorithm, where each ...
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Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model
... Σ q∈B e p q (D (q) p u m ) 2 . In this approach, the contours are not obtained from e but by thresholding u, leading to less accurate estimation. We can remark that, when dealing with multivariate images, contours ...
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Allocation and Optimisation of Mixed Criticality Cyclic Executives
... The timing data in Table 3.3 illustrate that WF maintains a very low average, median and maximum execution times. All heuristic approaches allocate task sets within a fraction of a second. The ILP approach has an ...
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On the dual of a mixed H2/l1 optimisation problem
... the mixed H 2 /l 1 optimisation ...The approach based on duality theory is useful in research on the mixed H 2 /l 1 optimisation problem, as it is often that the dual problem can be ...
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Portfolio optimisation and option pricing in discrete time with transaction costs
... time T ) and yielding a payoff C N = c(X N ) that depends on the price of the risky asset X N at expiry. Suppose that the investor takes a position in the option at the initial time. So the question arises: What is the ...
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A Practical Approach to Storage Optimisation and Hydro Scheduling In Mixed Market Environment for Distribution Utility Owned Generation Stations
... Abstract: Optimisation of own hydro power generation of distribution utility in a market environment is a major decision making in the power procurement portfolio finalisation on annual basis to daily and real ...
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An integrated approach to a combinatorial optimisation problem
... combinatorial optimisation problem and we show how to select a path across the graphs constrained by a notion of resource ...a discrete temporal metric, so as to consider only simultaneous nodes in the ...
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CAD-based CFD shape optimisation using discrete adjoint solvers
... another approach to achieve convergence of the adjoint solver, namely to improve the stability of the flow discretisation such that flow can be converged to a level that the Jacobian is ...an approach may ...
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Generalized Nonparametric Smoothing with Mixed Discrete and Continuous Data
... the discrete regressors with common bandwidth for the continuous variables across groups, as is frequently done in applied studies, can be well outweighed by the substantial bias introduced due to this ...
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Probabilistic Tractable Models in Mixed Discrete-Continuous Domains
... is mixed concerning MSPNs, while our model is WMI based, and by doing so we can perform complex querying with respect to arbitrary ...SQL approach [30] which uses the piecewise linear constants for ...
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Evaluation of advanced optimisation methods for estimating Mixed Logit models
... trust-region approach is that it can easily be adapted to include a variable sample size strategy, as proposed by Bastin et ...an approach is based on the idea of generating a full set of draws prior to ...
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The application of throughflow optimisation to the design of radial and mixed flow turbines
... and mixed flow turbines are important components of turbochargers in automotive ...geometry optimisation. This paper describes a new approach to the preliminary design using a quasi-3D throughflow ...
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Multi-objective optimisation in the retail banking industry with stochastic discrete-event simulation
... As mentioned in Chapter 1 the refinement that is the aim of this project must investigate the effect of using the VRP as a vehicle routing approach. Taking into account that du Toit (2011) and Wagner (2007) both ...
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Solvers on Advanced Parallel Architectures with Application to Partial Differential Equations and Discrete Optimisation
... Chapter 7 introduces the Distributed Block Direct Solver. DCG and DBDS meth- ods divide the original system into smaller subproblems that can be solved almost independently. Since matrices in local linear systems are ...
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A MODEL FOR MIXED CONTINUOUS AND DISCRETE RESPONSES WITH POSSIBILITY OF MISSING RESPONSES
... of discrete variables, given the continuous variables and a marginal distribution for continuous ...this approach see, for example, Heckman [6] in which a general model for simultaneously analyzing two ...
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An optimization method for solving mixed discrete-continuous programming problems
... heuristic approach for minimizing nonlinear mixed discrete-continuous problems with nonlinear mixed discrete-continuous ...The approach is an extension of the boundary tracking ...
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Black-box optimization of mixed discrete-continuous optimization problems
... 6 Introduction which suggests a candidate optimum in each iteration. This criterion also heavily relies on the normality assumption. Furthermore, another limitation of the EGO method is that it produces only one ...
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Multi-objective optimisation with stochastic discrete-event simulation in retail banking : a case study
... Another approach to cash management found in the open literature is that of inventory management. Armenise [2], Miranda [9] and Castro [4] follow this approach. Armenise [2] used a genetic algorithm to ...
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