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The model structure and optimisation problem

An alternative solution to the model structure selection problem

An alternative solution to the model structure selection problem

... the model coefficients in order to pre- serve the location of the fixed ...primary problem is not only to obtain a similar location of the fixed points but also stable ...

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An Adaptive Model-based Mutation Operator for the Wind Farm Layout Optimisation Problem

An Adaptive Model-based Mutation Operator for the Wind Farm Layout Optimisation Problem

... Evaluating the performance of a particular wind farm layout is quite challenging therefore: factors for consideration include the distribution of wind speeds and directions (which are often characterised using a wind ...

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NP Completeness of a combinator optimisation problem

NP Completeness of a combinator optimisation problem

... Using the combinators S, K, I, B, C, S', B' and C', together with a rewrite system for a graph representation of combinator expressions such that reduction of a duplicator causes the d[r] ...

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An integrated approach to a combinatorial optimisation problem

An integrated approach to a combinatorial optimisation problem

... a problem from the healthcare domain, where patients with several chronic conditions follow different guidelines designed for the individual conditions, and where the aim is to find the best treatment plan for a ...

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NP completeness of a combinator optimisation problem

NP completeness of a combinator optimisation problem

... THEOREM. 2. The Optimisation Problem is in NP. Proof. From lemma 16, we need only generate expressions E’ nondeterministically, with |E’| ≤ (|E|+4k′ − m) 2 , such that the only atomic subexpressions of E’ ...

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Optimisation over the non-dominated set of a multi-objective optimisation problem

Optimisation over the non-dominated set of a multi-objective optimisation problem

... In Chapter 5 the primal method and the dual method are adapted to determine the nadir point of an MOLP. The nadir point is characterized by the componentwise worst values of the non-dominated points of (MOP). The task of ...

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Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm

Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm

... single-objective optimisation problem by considering minimisation of only the tool-indexing ...multi-objective optimisation tool- indexing problem (MOOTIP) by identifying changes that must be ...

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A probabilistic graphical model approach to solving the structure and motion problem

A probabilistic graphical model approach to solving the structure and motion problem

... graphical model for the struc- ture and motion problem and evaluating it on different types of synthetic ...for structure and motion, there is clear promise in the performance of our system, ...

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Optimisation of capital structure and firm value

Optimisation of capital structure and firm value

... capital structure is the ratio between debt, equity and assets (Dewi et ...capital structure to increase the firm value and at the end, the firm value will potentially enhance the prosperity of the ...

9

On the dual of a mixed H2/l1 optimisation problem

On the dual of a mixed H2/l1 optimisation problem

... & Dahleh [2] developed the dual of the MIMO multi-block mixed H 2 /l 1 control problem based on zero interpolation techniques. Nevertheless, for a mixed H 2 /l 1 control prob- lem defined by zero interpolation ...

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Hybrid Optimisation Method for the Facility Layout Problem

Hybrid Optimisation Method for the Facility Layout Problem

... the problem description, the industry is trying to increase its performance which means solving other facility ...future problem in the industry is to layout a greater number of locations which may reach 30 ...

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'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'

'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'

... University of Nottingham NG8 1BB UK [email protected] Abstract- A Bayesian optimization algorithm for the nurse scheduling problem is presented, which involves choosing a suitable scheduling rule from a set for ...

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An Ant Colony Optimisation Algorithm for Timetabling Problem

An Ant Colony Optimisation Algorithm for Timetabling Problem

... Timetabling Problem (UCTP) is a combinatorial optimization problem which involves the placement of events into timeslots and assignment of venues to these events while considering the participants: ...

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Introduction. Part II: Insurance Structure Optimisation

Introduction. Part II: Insurance Structure Optimisation

... Deductible structure (chapter V) whereby part of the risk is retained as a deductible for the fleet ...loss structure reduces the premium and thus total ...loss structure describes the workings and ...

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Structure Optimisation of Directional Polarisation Beam Splitter

Structure Optimisation of Directional Polarisation Beam Splitter

... should be used in order to maximise TM and TE propagation properties differences. Fortunately, it has been proven theoretically and experimentally that the light can also be guided through the index contrast in a PhC ...

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Optimisation and Analysis of Riveted Structure with Aluminium Frame

Optimisation and Analysis of Riveted Structure with Aluminium Frame

... This problem can be overcome by usage of Aluminium profiles which offer a wide variety of uses when compared to other conventional methods of structure ...any structure can be quickly assembled ...

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Free Search Applied to Large Constraint
Optimisation Problem

Free Search Applied to Large Constraint Optimisation Problem

... Abstract. The article presents experimental results achieved by Free Search on optimisation of 100 dimensional version of so called bump test problem. Free Search is adaptive heuristic algorithm. It ...

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Meta-heuristic solution approaches to the
portfolio optimisation problem

Meta-heuristic solution approaches to the portfolio optimisation problem

... risk model was introduced, in which a security’s risk was defined as the magnitude of the drop below a specified rate of return given by the investor ...risk model now has a unique efficient frontier ...

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On intermittent demand model optimisation and selection

On intermittent demand model optimisation and selection

... These findings were verified using both out-of-sample accuracy and inventory metrics. This work has useful implications for practitioners. Although there have been significant developments in intermittent demand methods, ...

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Quasi-combinatorial energy landscapes for nanoalloy structure optimisation

Quasi-combinatorial energy landscapes for nanoalloy structure optimisation

... neighbourhood structure will make a global search more effective or not will depend on two competing factors: (i) the additional cost associated with multiminimisation and (ii) the consequent reduction in the ...

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