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Swarm intelligence systems are basically made up simple agent's populations which are interacting locally with each other and with their surroundings. These agents local interaction with each other can be negative, positive or neutral. Here positive interaction helps agents to solve a problem while negative interaction block the agents for solving problem. swarm's performance does not affected by...
Community detection has a very important role in data processing and analysis, which is very hot in recent years. However, traditional algorithms have shortcomings in both time complexity and precision. In this paper, we introduce a Modified Genetic Algorithm (MGA) that with alleles encoding and half uniform crossover to detect community structure. In the algorithm, each allele of the chromosome stands...
In recent years, with the development of cloud computing technology, the size of a data center is expanding rapidly. To minimize the energy consumption of a data center, we propose an energy-efficient virtual resource dynamic integration (VRDI) method. In the proposed VRDI method, first, by monitoring the load patterns of the physical machines (PMs) and the corresponding thresholds of PMs calculated...
Interactive evolutionary computation systems can be used to evolve advertisement texts. Google AdWords was used as the interface that users can use to see the advertisement texts, and have a chance of being persuaded by the text into clicking them. Interactive evolutionary computation systems use humans to perform fitness evaluation in the evolutionary process, which can be applied on a genetic algorithm...
Use of cloud computing technology and its services have pawed its way into many applications and this is also true in case of Content Delivery Networks. The storage services of cloud environment are replacing the traditional Content Delivery Networks for more reliability and easy availability of contents to users. Most research in Content Delivery Networks mainly focuses on delivering contents to...
In this paper we are interested in knowing, which features provide useful information for recognizing a gesture or an action, and how the set of selected characteristics impact the accuracy of detection. Then we define a large set of possible features, which are angles calculated from the joints of the skeleton provided by the kinect device. Our contribution is to propose an algorithm: Reduction of...
The analysis of communities and their evolution in dynamic networks is a challenging research with broad applications. The recent studies have found that the overlaps between communities are more densely connected than the non-overlapping parts in some real networks. The findings are different from the present concepts of the overlapping communities. Existing methods may fail to detect this kind of...
Nowadays, nesting problem has been encountered in many manufacturing industry. Nesting problem is given lots of layout elements and using algorithm to looking for the most suitable positions of every layout element in template to save the resource. In this paper, the two-dimensional problem is considered. The width of template is assumed to be fixed, and the heuristic and genetic algorithm is used...
Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep...
Differential Evolution algorithm has recently emerged as a simple yet very powerful technique for real parameter optimization. This article describes an application of DE for the design of fractional order proportional Integral Derivative controller. FOPID controller parameter are composed of the proportional constant, integral constant, derivative constant, derivative order and integer order, and...
We consider the problem of automatic construction of algorithms for recognition of abnormal behavior segments in phase trajectories of dynamic systems. The recognition algorithm is trained on a set of trajectories containing normal and abnormal behavior of the system. The exact position of segments corresponding to abnormal behavior in the trajectories of the training set is unknown. To construct...
Resource allocation in data centers is a significant research area in cloud computing. A high-efficiency resource allocation strategy can save the operating cost for cloud service providers, and less amount of carbon dioxide emissions to the atmosphere. While the Service Level Agreement(SLA) of customers can be guaranteed. So the cloud providers have to deal with the cost-performance trade-off: the...
Weapon-Target Assignment (WTA) study is always a hot research topic. The model description and corresponding algorithms are keys to the success of solving WTA problems. Accordingly, the paper first introduces two important concepts of Weapon System of Systems (WSOS) and Combat Capability to WTA model. Further, a Weapon-Target Assignment model based on Combat Capabilities is proposed, in which we not...
Genetic Algorithm (GA) is an effective method for solving Traveling Salesman Problems (TSPs), nevertheless, the Classical Genetic Algorithm (CGA) performs poor effect for large-scale traveling salesman problems. For conquering the problem, this paper presents two improved genetic algorithms based on clustering to find the best results of TSPs. The main process is clustering, intra-group evolution...
High Performance Computing (HPC) is now days a keyword which talks about efficient and cost effective computing systems or frameworks. Applications with huge computations are dependent upon the hardware support and the parallel algorithms designed and executing on this hardware. Research in the domain of parallel computing obtain the parallel algorithm which efficiently use the now days available...
The main aim of this paper consists in developing an effective e-learning tool, focused on evolutionary algorithms, in order to solve the graph coloring problem. Subsidiary, we apply graph coloring for register allocation in embedded systems. From didactic viewpoint, our tool has benefits in the learning process because it helps students to observe the relationship between the graph coloring problem...
The problem of dynamic stochastic shortest path is NP-hard. The transportation network of the city is dynamic and stochastic, the optimal problem of path is widely used in the fields of transportation, communication and computer network. The paper investigates the shortest path problem based on the genetic algorithm principle, an improved self adaptive genetic algorithm is proposed by encoding the...
Nowadays cloud computing is the most advanced paradigm promising to show the vision of computing applicability into reality. It provides a versatile and straightforward way to store and retrieve immense information left-out concern the hardware required. Cloud based Storage (CS) incorporates a resource manager, cluster head and server clusters. Inside the resource manager the client's request for...
Accurate load model is necessarily required because the loads behaviour influence the amount of reactive power required for voltage control studies in power system. This load model becomes more important especially for without grid connected isolated hybrid power system (IHPS). This paper investigates the performance of STATCOM as dynamic compensators with five different models of composite load....
Amid the most widely studied NP-hard combinatorial optimization problems, the Probabilistic Traveling Salesman Problem (PTSP), which is an extension of the well-known Traveling Salesman Problem, offers a fundamental basis for analyzing the stochastic impacts in routing problems. In this paper, a new meta-heuristic approach, Genetic Minimum Matrix Search (GMMS), is introduced for the solution of the...
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