The problem of reducing traffic congestion in a city has always been difficult to solve with monolithic control methods, which have both high costs and increased implementation complexity. This paper aims to minimize ...
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Tide level forecasting is one of major components in oceanography and marine research. The future prediction of tides is an important issue for human and environment. This study proposes new tide level prediction meth...
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Model selection is a crucial step in choosing a best model from a series of candidate models for data based modelling problems. The commonly used Akaike information criterion (AIC) and Bayesian information criteria (B...
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This paper addresses the multi-robot barrier coverage problem. It presents a group of memory-less robots that encircle a group of herd agents, by moving along a polygonal barrier. The results, produced from simulation...
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This paper present an enhanced chaotic spiral dynamic algorithm (ECSDA) for optimization problems and their application in single link flexible manipulator system (SLFMS). The algorithm is developed by integrating log...
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Among fossil fuels, natural gas has been considered a fuel of choice for increasing the supply of energy and reducing environmental contamination worldwide. Given that the supply chain of natural gas is characterized ...
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This paper proposes a hybrid fuzzy modelling approach using a self-organising network and simulated annealing algorithm for self-constructing and optimising fuzzy rule-based models. The proposed fuzzy modelling proced...
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This paper presents a new approach to function optimisation using a new variant of GAs. This algorithm is called the Stud GA. Instead of stochastic selection, the fittest individual, the Stud, shares its genetic infor...
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ISBN:
(纸本)3540650784
This paper presents a new approach to function optimisation using a new variant of GAs. This algorithm is called the Stud GA. Instead of stochastic selection, the fittest individual, the Stud, shares its genetic information with all others using simple GA operators. The standard Gray coding is maintained. Simple techniques are added to maintain diversity of the population and help achieve the global optima in difficult multimodal search spaces. The benefits of this approach are an improved performance in terms of accuracy, efficiency and reliability. This approach appears to be able to deal with a wide array of functions and to give consistent repeatability of optimisation performance. A variety of test functions is used to illustrate this approach. Results presented suggest a viable and attractive addition to the portfolio of evolutionary computing techniques.
Simulation of manufacturing processes is a key step in achieving the digitalisation of manufacturing systems. This work presents the design, development and experimental evaluation of a discrete event simulation (DES)...
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The problem of distributed detection with consulting sensors in the presence of communication cost associated with any exchange of information (consultation) between sensors is considered. We consider a system of two ...
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The problem of distributed detection with consulting sensors in the presence of communication cost associated with any exchange of information (consultation) between sensors is considered. We consider a system of two sensors, S1 and S2, in which S1 is the primary sensor responsible for the final decision u0, while S2 is a consulting sensor capable of relaying its decision u2 to S1 when requested by S1. In the scenario that is considered, the final decision u0 is based either on the raw data available to S1 only, or it may, under certain request conditions, also take into account the decision u2 of sensor S2. Random and nonrandom request schemes are analyzed and numerical results are presented and compared for Gaussian and slow-fading Rayleigh channels. For each decision making scheme, an associated optimization problem is formulated whose solution is shown to satisfy certain a priori set design criteria that we consider essential for sensor fusion.
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