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In optimization problems, Genetic Algorithms are one of the most commonly used methods to search optimum points of a given function. These algorithms stochastically select the individual that is close to the optimum point in the population. By choosing appropriate individual in each iteration, it is desired to find the best individual step by step, or converge to the best individual. Therefore, it...
Sleep staging is one of the important areas which is used to diagnose several diseases. People try to obtain models to carry out this operation without human interaction due to the time-consuming and complex nature of classification process. Most of the prior studies use concatenation of the extracted features from the electroencephalography (EEG) signals to obtain a single classifier. However, concatenating...
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 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...
Dishwashers are owned by less households than many of other home appliances in Japan. One of the reasons is that it is difficult and troublesome to decide the layout of dishes in a compact dishwasher rack. We develop an anytime algorithm with a genetic algorithm (GA) for optimization of dishwasher loading. This system shows the temporary best layout to human users with 3D graphics. The developed algorithm...
This paper proposes a new design of high-temperature starter-generator with external rotor to be installed on high pressure shaft of aircraft engine to implement More Electrical Engine concept. The basic materials to make this starter-generator were selected and justified. Multi-criteria optimization of the developed design was performed using a genetic algorithm and Pareto method. The optimum (in...
Study on the design of a robust network against malicious attacks has gained increased interest in various areas such as wireless communications networks. One of the main obstacles towards finding the optimum robust network is the large number of possible network configurations. In this paper, we propose a novel method to design robust networks against malicious attacks based on the network degree...
Although there are widely used methods as Genetic Algorithms, Fuzzy Logic and Artificial Neural Network, the Optimization Based Tools are considered the future of the systems of information. This issue is about Artificial Neural Network (ANN) used in Short Term Load Forecast (STLF). It proposes that the method is valid to predict STLF and how important it is on demand scheduling, contingency analysis,...
In this paper a Genetic Algorithm (GA) is used to partition a distribution network with the aim to minimize the energy exchange among the microgrids (i.e. maximize self-consumption) in presence of distributed generation. The proposed GA is tested on the IEEE prototypical network PG & E 69-bus. The microgrid partitioning is tested over a period of one year with hourly sampled data of real household...
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 work, the thinning of concentric circular arrays using Galaxy Based Search Algorithm (GBSA). The purpose is to obtain reduce the power taken by the array while preserving acceptable properties as compared to the conventional arrays. Three arrays are considered: a three ring array, an array of five rings and another one of seven rings were used. The aim is to see the impact and effectiveness...
The quality of service multicast routing problem (QoSMRP) is a very interesting research issue for transmission in communication networks. It is known to be an NP-hard problem, so many heuristic algorithms have been employed for solving this problem. This paper proposes two hybrid approaches based on the hybridization of Firefly algorithm (FA) with Quantum Evolutionary algorithm (QEA) to solve the...
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...
Mobile edge computing (MEC) has recently emerged as an important paradigm to bring computation and cache resources to the edge of core networks. However, the resources of edge network are relatively limited, so it is necessary to cooperate with data center (DC) which has sufficient computational resources. In this paper, we aim at designing a computation offloading and data caching model under the...
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...
In this paper, we present a method of learning desired behaviour of the specific robotic system and transfer of the existing knowledge in the event of partial system failure. Six-legged robot (hexapod) built on top of the Bioloid platform is used for the method verification. We use genetic algorithms to optimize the hexapod's gait, after which we simulate physical damage caused to the robot. The goal...
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 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...
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