Uplink Optimisation for the Foyer Problem
PAPR In LTE UPLINK : Problem and Improvement
... the uplink and downlink multiple access methods, LTE in the uplink has preferred to use SC-FDMA, a new hybrid modulation method which smartly combines the low-PAPR of single-carrier systems with multipath ...
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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
... 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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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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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
... 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'
... 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
... 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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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
... 5.6. Performance metrics and comparison of the algorithms 53 two simultaneously and further testing will be required. The averages for the three metrics given in §4.4 for each algorithm over time are summarised in ...
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Particle Swarm Optimisation Applied to Economic Load Dispatch Problem
... This problem area has taken a subtle twist as the public has become increasingly concerned with environmental matters, so that economic dispatch now includes the dispatch of systems to minimize pollutants and ...
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Application of the Bees Algorithm for Constrained Mechanical Design Optimisation Problem
... best optimisation algorithms because it has been successfully solved different types of optimisation problems (Hussein et ...Brake problem is one of the common problems faced in real world ...
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A Modelling of Genetic Algorithm for Inventory Routing Problem Simulation Optimisation
... 3 [email protected] 4 [email protected] 5 [email protected] Abstract — This paper presents the simulation optimization modelling for Inventory Routing Problem (IRP) using Genetic Algorithm method. The IRP simulation model is ...
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A Particle Swarm Optimisation for Vehicle Routing Problem with Time Windows
... Swarm Optimisation PSO is a population-based search method proposed by Kennedy and Eberhart ...a problem solution is represented by the position value of a multi-dimensional ...
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Comparing genetic algorithms and particle swarm optimisation for an inverse problem
... 3 Optimising the structural dynamics model C95 3.2 Particle Swarm Optimisation Particle Swarm optimisation is a relatively new optimisation technique [2]. It is inspired by the swarming behaviour of ...
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Analysis of Reactive Search Optimisation Techniques for the Maximum Clique Problem and Applications
... The problem does not occur if one selects the node seeding the current clique randomly regardless of their degree and regardless of the fact that they have already been part of a ...
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Heuristic algorithm for the problem of vessel routing optimisation for offshore wind farms
... the problem of vessel routing optimisation for offshore wind ...same problem was formulated as integer linear programming problem and benchmarked against the IBM CPLEX commercial ...
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Optimisation of a Bus Network Configuration and Frequency Considering the Common Lines Problem
... lines problem, while others have not. Con- sidering the common lines problem implies that passen- gers can consider the complex route set perfectly, which so far was almost impossible in dense ...lines ...
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The Automotive Deployment Problem: A Practical Application for Constrained Multiobjective Evolutionary Optimisation
... The Nondominated Sorting Genetic Algorithm (NSGA) in its improved form NSGA-II by Srinivas and Deb [9] is recognised as one of the most successful state-of-the art mul- tiobjective problem solvers. Strong ...
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Surrogate-Assisted Evolutionary Algorithms for Wind Farm Layout Optimisation Problem
... the optimisation was to minimise the variance of the pressure distribution over the sur- face of the airfoil as well as to maximise the wedge angle at the trailing ...evolutionary optimisation process ...
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