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Course timetabiling is a process that must be done at the beginning of the education period in all educational institutions. The purpose of the timetabling is to bring together classrooms, lectures, students and lecturers at the same time without any conflicts. Course timetabiling is a difficult problem to solve when classroom constraints, teaching staff preferences, course restrictions are taken...
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...
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...
The photoelectric conversion efficiency of photovoltaic cells is mainly affected by two factors, two factors are the operating temperature of the photovoltaic cell and the irradiance of the sun. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining with the two factors that affect photoelectric conversion efficiency of photovoltaic cells and the merits and demerits...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
This paper proposes a contribution to optoelectronic ultra-wideband transient waveforms generation. It describes a genetic algorithm (GA) development, a Photoconductive Semiconductor Switch (PCSS) characterization and optimization modeling. The genetic algorithm enables generation of arbitrary transient waveforms from specific spectral conditions. Experimental measurements have been carried out with...
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...
This paper presents an optimal control of a HIV stochastic model through drug therapy. The model shows the effect of anti-retrovirus drugs in different stages of infection. The optimal controller is achieved by Genetic Algorithm (GA). In this paper we find appropriate efficacies of a drug that minimize the virus particles for a deterministic model and stochastic model. To design the optimal stochastic...
Coronary Artery Disease (CAD) is a kind of cardiovascular disease and a heart attack is the first sign of CAD. Cardiac SPECT is one of the efficient methods to diagnose the disease. Plaque buildup in the walls of the arteries causes CAD and makes them narrow over time. Therefore, one of the most important issues is automating of CAD early detection. In the literature, various classification methods...
Improvements of energy efficiency and reduction of electricity consumption can be promoted by growing knowledge on the determinants of residential electricity consumption level (RECL). Due to numerousness, complexity and multiple correlations among impact factors (IFs) of RECL, feature selection is an essential step to ensure the precision and stability of an explanatory model. However, the current...
In the Team Orienteering Problem (TOP) a set of locations is given, each with a score. The objective is to determine a fixed number of routes (teams), limited in length, that visit some locations and maximize the sum of the collected scores. For the first time we introduce bi-objective TOP which has a second objective, to balance all team's scores for the purpose of obtaining fair teams. So the second...
Diabetes Mellitus is a dreadful disease characterized by increased levels of glucose in the blood, termed as the condition of hyperglycemia. As this disease is prominent among the tropical countries like India, an intense research is being carried out to deliver a machine learning model that could learn from previous patient records in order to deliver smart diagnosis. This research work aims to improve...
The paper introduces a proposal for an automated magnetic resonance (MR) image segmentation called Case-Based Genetic Algorithm Location-Dependent Image Classification (CBGA-LDIC) and presents its evaluation results. This method finds an appropriate cell set towards efficient image segmentation. It uses location-dependent image classification (LDIC), which is integrated by genetic algorithm (GA) combined...
A new method, based on support vector machines (SVMs) and genetic algorithm (GA), is proposed for automatic Intra-Pulse modulation recognition (AIMR). In particular, the best feature subset from the combined pulse descriptor word (PDW) feature set and time-frequency feature set is optimized using genetic algorithm. Compared to the conventional decision-theoretic method, the method proposed avoids...
The self-adaptive sliding mode position controller based on genetic algorithm optimization is designed for the servo motor drive system. Firstly, the self-adaptive sliding mode position controller is researched to estimate the magnitude of the unknown disturbance in the perturbed system. Then, the adaptive genetic algorithm is used to optimize the ideal adaptive parameters and switching parameters...
Wavelet neural network has a slow convergence rate, weak global search capability and easy to search the search results to a minimum, while the genetic algorithm has a high degree of parallelism, randomness, adaptive search and global optimization. The wavelet neural network is transformed and transformed to obtain the discretized wavelet neural network. In this paper, the three-layer wavelet neural...
High-performance processors utilize embedded thermal sensors to continuously monitor the temperature of the chip during runtime. However, the overheating locations change temporally and spatially, depending on the various workloads running on the chip. Moreover, on-chip thermal sensor readings are highly affected by noise due to fabrication variations and randomness, which make the task of thermal...
In this paper, we propose two uplink pilot power control schemes to mitigate pilot contamination in a multi-cell massive multiple-input multiple-output (MIMO) system. These uplink pilot power control schemes can maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the worst user or the mean SINR of the whole network for the downlink data transmission. Combinatorial optimization problems...
The influence of temperature, irradiance and shielding ratio on the output characteristic curve of photovoltaic cells was studied in this paper. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining three major factors that affect photovoltaic cells, a maximum power point tracking (MPPT) scheme based on large variation genetic algorithm was proposed. In this...
In this paper, a mobile robot path planning algorithm based on the rearrangement of gene is proposed for genetic algorithm and applied to solve the problem of mobile robot path planning. Firstly, it needs to build the robot path with the multi-plane model, and the genetic algorithm is used to search the optimal or sub optimal path. Then, with a new algorithm for the route of quadratic optimization,...
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