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To automatically determine the number of clusters and generate more quality clusters while clustering data samples, we propose a harmonious genetic clustering algorithm, named HGCA, which is based on harmonious mating in eugenic theory. Different from extant genetic clustering methods that only use fitness, HGCA aims to select the most suitable mate for each chromosome and takes into account chromosomes...
Seabed minerals in form of ferromanganese or polymetallic nodules (PMN) have been reported in the Pacific, Atlantic, and Indian oceans. The distribution of these PMN are influenced by several factors, such as the associated topographic undulations, surface chlorophyll levels, sediment type and thickness, and water depth. Traditionally, determination of the existence and the distribution of PMN involves...
Man-made global warming poses serious threats to the environment and society. Proper abatement policies for greenhouse gas (GHG) emissions are urgently needed to ameliorate the effects of global warming. In this paper, we introduce a version of the Policy Analysis of the Greenhouse Effect (PAGE) model that is faster by two orders of magnitude than previous versions. PAGE is then used in conjunction...
Presented concise implements improved real coded genetic algorithmic technique (IRECGA) for determining optimalized operative planning (short spell, hour based) in a hydel-thermic network. The network comprises of hydel and thermic producers. Hydel producers are incorporated with back to back connected multiple tanks. Restricted operating sections possess boundings for hydel producers while the loading...
In Systems-on-Chip (SoCs) based on Networks-on-Chip (NoCs), the timing requirements of target applications can be met by using virtual channels and traffic differentiation mechanisms to prioritize the most urgent communication streams. However, the use of virtual channels in NoCs results in silicon and power overheads as they are usually implemented by means of additional buffers and multiplexers...
Importance of the genetic algorithms (GA) usage in the investigation of an ultrashort pulse peak voltage in a printed circuit board (PCB) bus of autonomous navigation system (ANS) is highlighted. Trapezoidal ultrashort pulse propagation along the conductors of the PCB bus was simulated. Using GA an optimization of the 10 parameters for loads at the ends of the bus conductors was made. The optimization...
This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). VANET shows a promising technology as it could enhance the traffic efficiency and promote traffic safety on the road systems. The conventional store-and-forward transmission protocol used in the intermediate node(s) simply...
The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is the main challenge addressed in this work. The...
In this paper, we study Vehicle Routing Problem (VRP) for Blood Transporters (BTs) and propose an efficient vehicle routing scheme for blood transportation between hospitals or Donor/Client Sites (DCSs) within a region that is based on Artificial Intelligence. It is assumed that each BT in a fleet of vehicles starts and completes its route at a blood-bank while visiting a subset of DCSs using the...
In this paper, we proposed a framework for detecting network's intrusions using Genetic Algorithm (GA) with multiple criteria. First of all, we build an intrusion detection system (IDS) using a pure GA with multiple selection methods. Then, we proposed one of the few hybrid algorithms in the literature, which is hybridized using a GA and a Tabu search (TS) algorithm. The proposed hybrid algorithm...
The purpose of this paper is to design a fuzzy supervisory PID controller using an improved genetic algorithm. The fuzzy controllers are widely used in the recent years due to their results in both tracking and perturbation rejection, however the most difficult step in designing a fuzzy controller is the fuzzyficaion stage where we have to determine the rules and the shape of membership functions...
In this paper we focus on the issues of hardware implementation of genetic algorithms (GA) in hardware. In their classic implementation, the genetic algorithms search for a global minimum or maximum of a multidimensional function called the fitness function. If the problem, i.e. the fitness function, is too complex for a brute force search, we can look for a solution based on GA. In this situation...
In this paper a new method to design optimal fractional order proportional-integral-derivative (PIλDμ) controllers for time delay systems is presented. In PIλDμ controllers' parameters are composed of proportionality constant, integral constant, derivative constant, derivative order and integral order, and its design is more complex than that of conventional integer-order proportional-integral-derivative...
This paper presents a generalized target-radar assignment problem in cooperative air combat. Consider a scenario where multiple airborne radars are assigned to track multiple targets to maximize the elimination of the threat value of the targets. In order to achieve the guidance of the missiles simultaneously, the targets are generalized to comprise the enemy targets and the missiles which are launched...
The never-ending increase in energy demand across the globe requires a new approach towards efficiency in the production, distribution and consumption chain. A system that achieves minimum operational losses becomes more and more attractive. This paper tackles the energy efficiency in distribution networks by proposing an optimum allocation and sizing of capacitor banks. Using a genetic algorithm,...
This paper studies how to place the least number of sensor nodes to ensure confident information coverage in an area with obstacles, while maintaining the connectivity of the placed nodes. For this constrained optimization problem, we propose a sensor placement scheme based on an improved genetic algorithm with our new problem-specific operations, including the Delaunaytriangulation-based population...
The interactions between genes can be described in the form of an intrinsic and interwoven network called Gene Regulatory Network. Discovering this interaction and accurate modeling of Gene Regulatory Network is one of the key issues in understanding the fundamental cell processes which may be used in various medical, complex genetic diseases and drug discovery applications. In this paper, a method...
Precision improvement of the classifiers is one of the main challenges for the Artificial Intelligence researchers. Feature weighting is one of the most common ideas in this area. In this study, in order to increase the accuracy of the K-Nearest Neighbors (KNN) classifier, a nonlinear feature weighting method based on the Spline interpolation is used. In this approach, a unique nonlinear function...
Voltage quality is an essential requirement in the operation of electricity distribution systems. At consumer busbars, the deviation from the nominal voltage has specific ranges, prescribed in technical regulations. A widely chosen voltage correction approach is to use reactive power compensation. Capacitor banks are used for this purpose in highly loaded networks, but their placement and sizing require...
Online transaction failures often show up as "500: Internal Server Error" in web server access logs. In many instances determining the root cause of the failure is a difficult task. It could either be a bug associated with a specific HTTP request alone or the result of an undesirable state created by previous HTTP transactions. The latter case, which we call workload dependent faults, are...
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