The primary role of Economic Load Dispatch (ELD) is for obtaining the most efficient operation out of a power system generation network. The main objective of performing the ELD is to minimize the generator fuel cost....
详细信息
ISBN:
(纸本)9781467385879
The primary role of Economic Load Dispatch (ELD) is for obtaining the most efficient operation out of a power system generation network. The main objective of performing the ELD is to minimize the generator fuel cost. The minimum cost function found using optimization techniques is a widely researched area. One such optimization technique is the bat algorithm. In this communication, Novel bat Aigorithm has been introduced to solve the ELD problem. The Novel bat Aigorithm introduces the idea of using Doppler Effect and movement of bats between different habitats. It is compared with the bat algorithm and the Particle Swarm Optimization to find the most efficient among them. The effectiveness of the proposed method is illustrated by testing it on 5-unit and 6-unit systems.
This paper presents the application of the hybridized bat algorithm to the constrained portfolio optimization problem which is a hard optimization problem suitable for stochastic optimization metaheuristics. bat algor...
详细信息
ISBN:
(纸本)9781509006656
This paper presents the application of the hybridized bat algorithm to the constrained portfolio optimization problem which is a hard optimization problem suitable for stochastic optimization metaheuristics. bat algorithm is a recent member of the group of nature-inspired algorithms. Hybridization between bat and artificial bee colony metaheuristics was adapted for solving portfolio problem with constraints that extend classical mean-variance portfolio selection formulation. To test the robustness of our hybridized approach, a comparative analysis with other swarm intelligence algorithms, as well as with three variants of genetic algorithm was performed. All algorithms included in comparative analysis were tested on the same portfolio model using the same data set. Results show that proposed hybridized bat algorithm has a great potential for tackling constrained portfolio problem.
In this paper, we present discrete bat algorithm (DBA) for solving the Traveling Salesman Problem (TSP). In this improved bat algorithm, on the one hand, the subtraction operator of location and location, the multipli...
详细信息
ISBN:
(纸本)9781509025350
In this paper, we present discrete bat algorithm (DBA) for solving the Traveling Salesman Problem (TSP). In this improved bat algorithm, on the one hand, the subtraction operator of location and location, the multiplication operator of real number and location, and the addition operator of velocity and location are redefined, on the other hand, the initial population are generated by Nearest Neighbor tour construction heuristic, and 2-opt edge-exchange algorithm is introduced to perform the local search. We test series of numerical instances by using 33 benchmark instances with sizes ranging from 55 to 318 nodes from the TSPLIB, and compare DBA with Chen and Chien's method (2011), Marinakis et al.'s method (2005), and Marinakis et al.'s method (2005). The experimental results show that the percentage deviations of DBA are better than that of the three methods and within satisfaction.
In recent times, there has been an exponential growth in the viability of Neural Networks (NN) as a Machine Learning tool. Most standard training algorithms for NNs, like gradient descent and its variants fall prey to...
详细信息
ISBN:
(纸本)9783319466750;9783319466743
In recent times, there has been an exponential growth in the viability of Neural Networks (NN) as a Machine Learning tool. Most standard training algorithms for NNs, like gradient descent and its variants fall prey to local optima. Metaheuristics have been found to be a viable alternative to traditional training methods. Among these metaheuristics the bat algorithm (BA), has been shown to be superior. Even though BA promises better results, yet being a population based metaheuristic, it forces us to involve many Neural Networks and evaluate them on nearly every iteration. This makes the already computationally expensive task of training a NN even more so. To overcome this problem, we exploit the inherent concurrent characteristics of both NNs as well as BA to design a framework which utilizes the massively parallel architecture of Graphics Processing Units (GPUs). Our framework is able to offer speed-ups of upto 47x depending on the architecture of the NN.
The basic requirements for a good distribution system are good voltage profile, availability of power on demand and reliability. Capacitors are commonly used to provide the reactive power compensation in distribution ...
详细信息
ISBN:
(纸本)9781509061280
The basic requirements for a good distribution system are good voltage profile, availability of power on demand and reliability. Capacitors are commonly used to provide the reactive power compensation in distribution systems. This paper investigates a particular approach that highlights the influences which the connection of reactive power sources may have over the solutions for voltage control in a real medium voltage distribution network. The problem of reactive power sources optimization for bus voltage deviation index minimization was solved by optimally placing a number of capacitor banks in the network buses, using the bat algorithm. A Matlab specialized software of the bat algorithm was applied to a real distribution network to confirm the algorithm feasibility. Also, the results have proven the accuracy of the proposed method.
To resolve the conflict between convergence speed and diversity in bat algorithm (BA), we propose a novel improved BA algorithm called local enhanced catfish bat algorithm (LECBA). In LECBA, some inferior bats of init...
详细信息
ISBN:
(纸本)9781509041558
To resolve the conflict between convergence speed and diversity in bat algorithm (BA), we propose a novel improved BA algorithm called local enhanced catfish bat algorithm (LECBA). In LECBA, some inferior bats of initial population are reserved and each bat's historical worst position is updated. While population has been trapped into a local optimum, the initial inferior bats' positions and current bats' historical worst positions can attract population to leap out of the local optimums at a high speed through catfish effect which can improve population's diversity and preserve exploration ability. Furthermore, in each generation, the difference between the best and second-best global solutions is adopted to guide the best one to carry out a local search process called local learning behavior which can improve exploitation ability. The local learning behavior can be executed with population's evolution in parallel, and the local scale factor is dynamically adjusted during evolution. Experimental results show that LECBA has better global search ability and higher convergence speed than other modified bat algorithms.
In order to improve the detection rate of network intrusion, this paper proposes a kind of bat algorithm (BA), which can optimize the intrusion detection model of support vector machine (BA-SVM). In this algorithm, pa...
详细信息
ISBN:
(纸本)9783319406633;9783319406626
In order to improve the detection rate of network intrusion, this paper proposes a kind of bat algorithm (BA), which can optimize the intrusion detection model of support vector machine (BA-SVM). In this algorithm, parameters of the SVM support vector machine are coded as individual bats first, and the detection rate of network intrusion is put as the parameter objective function. Then, the optimum parameter of support vector machine is found by simulating the bat flight. Finally, a network intrusion detection model is established based on optimal parameters, and simulation experiments are performed with KDD CUP99 dataset. The results show that this model could not only improve the detection rate of network intrusion, but also reduce the training time, and therefore improve the effect of network intrusion detection.
Adaptive digital beamforming is widely used in modern radar and wireless communication systems. Evolutionary algorithms (EA) are powerful tools for more flexible adaptive beamforming. The major drawback of conventiona...
详细信息
ISBN:
(纸本)9781467387620
Adaptive digital beamforming is widely used in modern radar and wireless communication systems. Evolutionary algorithms (EA) are powerful tools for more flexible adaptive beamforming. The major drawback of conventional evolutionary algorithms is generally slow in searching for solutions. bat algorithm (BA) is a relatively new and faster evolutionary algorithm. In this paper we apply bat algorithm in adaptive beamforming and also compared its computational efficiency with that of Particle Swarm Optimization (PSO) algorithm which is considered much faster than Genetic algorithms (GA). Numerical experiments show BA is very efficient, showing a promising tool for adaptive beamforming.
Abnormal Cardiac beat identification is a key process in the detection of heart ailments. This work proposes a technique for the detection of Bundle Branch Block (BBB) using bat algorithm (BA) technique in combination...
详细信息
ISBN:
(纸本)9783319309330;9783319309323
Abnormal Cardiac beat identification is a key process in the detection of heart ailments. This work proposes a technique for the detection of Bundle Branch Block (BBB) using bat algorithm (BA) technique in combination with Levenberg Marquardt Neural Network (LMNN) classifier. BBB is developed when there is a block along the electrical impulses travel to make heart to beat. The bat algorithm can be effectively used to find changes in the ECG by identifying best features (optimized features). For the detection of normal and Bundle block beats, these bat feature values are given as the input for the LMNN classifier.
In this paper a metahenristic optimization technique known as bat algorithm is used for optimal tuning of controller parameters for obtaining the optimal performance of the load frequency control. This optimization al...
详细信息
ISBN:
(纸本)9781467385879
In this paper a metahenristic optimization technique known as bat algorithm is used for optimal tuning of controller parameters for obtaining the optimal performance of the load frequency control. This optimization algorithm is inspired by the echolocation behavior of natural bats. To validate the potency of the proposed method, a linear model of two-area thermal power system is examined as a tested system for the applied disturbances. The simulation results are provided to reveal the perfection of bat algorithm over various optimization techniques in tuning of Proportional Integral (PI) and Proportional Integral Derivative (PID) controller parameters. Evaluation of simulation results showed that the suggested algorithm achieves good performance for load changes compared to other optimization techniques.
暂无评论