نتایج جستجو برای: imposing a large search space moreover

تعداد نتایج: 13665431  

Journal: :CoRR 2009
Jaap-Henk Hoepman Rieks Joosten

Proper privacy protection in RFID systems is important. However, many of the schemes known are impractical. Some use hash functions instead of the more hardware efficient symmetric encryption schemes as a cryptographic primitive. Others incur a rather large time penalty at the reader side, because the reader has to perform a key search over large tag key space. Moreover, they do not allow for d...

Journal: :international journal of advanced design and manufacturing technology 0
habib esfandiar moharam habibnejad korayem mohammad haghpanahi

in present paper, a point to point optimal path is planned for a mobile manipulator with flexible links and joints. for this purpose, a perfect dynamic modeling is performed for mobile manipulators considering large deformation in links, shear effects, elastic joints, effect of gravitation, and non-holonomic constraints. to study large deformation of links, non-linear relation of displacement-s...

Journal: :TEMA - Tendências em Matemática Aplicada e Computacional 2002

Search-based optimization methods have been used for software engineering activities such as software testing. In the field of software testing, search-based test data generation refers to application of meta-heuristic optimization methods to generate test data that cover the code space of a program. Automatic test data generation that can cover all the paths of software is known as a major cha...

2007
Rune M. Jensen Manuela M. Veloso

In this paper, we present an algorithm for learning nondeterministic multi-agent planning domains from execution examples. The algorithm uses a master-slave decomposition of two population-based stochastic local search algorithms and integrates binary decision diagrams to reduce the size of the search space. Our experimental results show that the learner has high convergence rates due to an agg...

Journal: :journal of computer and robotics 0
mojtaba gholamian faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran mohammad reza meybodi department of computer engineering and information technology, amirkabir university of technology, tehran, iran

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

Ghasemi, M. R., Ghohani Arab, H., Khajeh, A.,

This paper combines particle swarm optimization, grid search method and univariate method as a general optimization approach for any type of problems emphasizing on optimum design of steel frame structures. The new algorithm is denoted as the GSU-PSO. This method attempts to decrease the search space and only searches the space near the optimum point. To achieve this aim, the whole search space...

Journal: :international journal of smart electrical engineering 2015
farkhondeh jabari heresh seyedi sajad najafi ravadanegh

this paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. an interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area bl...

2009
Yngvi Björnsson Vadim Bulitko Nathan R. Sturtevant

Real-time heuristic search algorithms are used for planning by agents in situations where a constantbounded amount of deliberation time is required for each action regardless of the problem size. Such algorithms interleave their planning and execution to ensure real-time response. Furthermore, to guarantee completeness, they typically store improved heuristic estimates for previously expanded s...

2003
Vlastislav Dohnal Claudio Gennaro Pasquale Savino Pavel Zezula

Similarity retrieval is an important paradigm for searching in environments where exact match has little meaning. Moreover, in order to enlarge the set of data types for which the similarity search can efficiently be performed, the notion of mathematical metric space provides a useful abstraction for similarity. In this paper we consider the problem of organizing and searching large data-sets f...

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