Optimisation problems and methods
Stochastic Local Search Methods for Highly Constrained Combinatorial Optimisation Problems
... these methods, as they have been applied so far, yield the best ever possible performance or if margins still exist for im- ...SLS methods to optimisation problems, that is, having a problem ...
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Numerical Optimisation Problems in Finance
... two methods, we perform a preliminary experiment with = 10 −4 and n = 40 using the MATLAB function quadv with an adaptive Simpson rule for the numerical ...
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Geometry in structured optimisation problems
... If the function is convex, a useful tool as a substitute for the nonexisting derivative is a subgradient. The set of all subgradients of the function at the point is called the subdifferential. For our work in this ...
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A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems
... In order to solve DMMOPs efficiently, researchers have developed a number of approaches into EAs, such as niches techniques, speciation methods, and multi-population strategies. These approaches mostly focus on ...
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Free Search Towards Multidimensional Optimisation Problems
... 5 C ONCLUSION The experimental evaluation presented in the article displays the capabilities of Free Search on optimisation of multidimensional test problems. The results achieved on the Bump problem ...
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Reducing computational effort in field optimisation problems
... that optimisation methods have achieved a status of a mature tool which can be applied ef®ciently to practical design problems requiring accurate, but time-consuming, ®eld ...of methods and ...
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Nonlinear convex optimisation problems in the smart grid
... The optimisation problems that arise in this context are resource allocation ...The optimisation problems that emerge in these situations are usually convex and ...nonlinear ...
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Towards an efficient API for optimisation problems data
... Figure 3 presents a class diagram of the data structures. For simplicity, we included only the main class that defines the optimisation problem and the classes that define the tasks and the set of tasks. The main ...
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Improving the bees algorithm for complex optimisation problems
... the optimisation problem there are two possibilities: Single Point Search (Trajectory) (SPS) which is also known as a Direct Search (DS), and Population-Based Search (PBS) which is also known as a Swarm Based ...
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Improvements On The Bees Algorithm For Continuous Optimisation Problems
... benchmark problems encompassing various landscapes, and on the problem of training Artificial Neural Network, as well as comparing the results with other swarm algorithms to verify and validate the effectiveness ...
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Numerical Algorithms for Polynomial Optimisation Problems with Applications
... these methods can be less effective if the encountered polynomial de- gree is ...diffusion-based methods are used to solve non-convex polynomial optimization models that arise in portfolio selection ...
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Multi-stage hyper-heuristics for optimisation problems
... timetabling problems: hard 3 , and sof ...Timetabling problems have been studied by many researchers ...timetabling problems exhibit- ing various characteristics from different countries, and many ...
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Bregman Itoh–Abe Methods for Sparse Optimisation
... Erlend Skaldehaug Riis received the MMath degree in 2015 from the University of Warwick and completed the Ph.D. degree in 2019 at the University of Cam- bridge, as a member of the Cam- bridge Image Analysis research ...
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The Bees Algorithm A Novel Tool for Complex Optimisation Problems
... swarm-based optimisation Swarm-based optimisation algorithms (SOAs) mimic nature’s methods to drive a search towards the optimal ...an optimisation problem has a single optimum, SOA population ...
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Evolutionary methods for topology optimisation of continuum structures : static and dynamic problems
... obtain an optimal solution. Stmctural optimisation can be classed into three types:.. Oven/lew of Structural Optimisation. Size optimisation: the design variable can be the thickness of [r] ...
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Optimisation of condition number for eigenstructure problems
... BASIC CONCEPTS AND BACKGROUND RESULTS 3.1. Introduction There has been a substantial amount of work performed in the field of control theory over the past three decades that examines the control of systems through the ...
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Editorial: Optimisation methods of road pricing
... A few authors considered the second-best link-based congestion pricing that focuses on the determination of toll levels at predetermined locations. Yang and Lam (1996) presented a bi-level model considering fixed O-D ...
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Modelling and solution methods for stochastic optimisation
... by the translator. These extensions to language constructs make a contribution to knowledge of computer-aided modelling for SP and robust optimisation. In Chapter 3 we have studied a single-stage model with ...
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A comprehensive literature classification of simulation optimisation methods
... classification methods, literature survey 1 INTRODUCTION Many real world problems in management and manufac- turing are very complex and mathematically intractable so that simulation is the appropriate tool ...
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