نتایج جستجو برای: imposing a large search space moreover
تعداد نتایج: 13665431 فیلتر نتایج به سال:
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...
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...
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...
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...
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...
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...
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...
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...
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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