A description is given of the results of experiments to find the optimum population size for genetic algorithms as a function of problem complexity. It seems that for moderate problem complexity the optimal population...
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A description is given of the results of experiments to find the optimum population size for genetic algorithms as a function of problem complexity. It seems that for moderate problem complexity the optimal population size for problems coded as bitstrings is approximately the length of the string in bits for sequential machines. This result is also consistent with earlier experimentation. In parallel architectures the optimal population size is larger than in the corresponding sequential cases, but the exact figures seem to be sensitive to implementation details.< >
The convergence behavior of type-0 through type-3 stack filters is investigated. It is shown that stack filters of type-0 through type-2 all possess the convergence property; that is, they filter any input signal to a...
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The convergence behavior of type-0 through type-3 stack filters is investigated. It is shown that stack filters of type-0 through type-2 all possess the convergence property; that is, they filter any input signal to a root after consecutive passes of the filter under any appending strategy. A counterexample is given to show that not all type-3 stack filters have this convergence property. The rate of convergence for convergent stack filters is also shown. It is shown that stack filters of type-0 will take at most a single pass to filter any input signal to a root. The rate of convergence of type-1 and type-2 stack filters is shown to be linear in the length of the input signal.< >
We give a characterization for the intractability of hyperelliptic discrete logarithm problem from a viewpoint of computational complexity theory. It is shown that the language of which complexity is equivalent to tha...
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An analytical model for predicting the performance of protocol software implementation in a layered communication architecture is proposed. Each layer is modeled by a queuing network. The model is constructed by focus...
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ISBN:
(纸本)0818620498
An analytical model for predicting the performance of protocol software implementation in a layered communication architecture is proposed. Each layer is modeled by a queuing network. The model is constructed by focusing the behavior of the protocol entity in a layer. A first come, first served (FCFS) server queue with preemptive priority is employed for an entity and an infinite-server queue for response time of acknowledge packets. Respective layer models are piled up by embedding the lower services in the infinite-server queue. From the perspective of end-to-end performance, the model provides a solution for the following problems, which arise in implementing a layered communication protocol: assigning each layer's process to a processor; giving priority to respective processes in each processor; and providing an error recovery service. The authors present an approximate analysis to obtain an average end-to-end transmission delay and discuss the possible solutions for the problems mentioned.< >
HutBase is a visual design data manager that can be used to store and manipulate data objects created and processed by a variety of design applications. In particular, HutBase allows the user to manipulate the data an...
ISBN:
(纸本)9780897912686
HutBase is a visual design data manager that can be used to store and manipulate data objects created and processed by a variety of design applications. In particular, HutBase allows the user to manipulate the data and start applications, and provides a access mechanism for the *** consists of three software layers. The lowest layer, the Object Management System (OMS), is based on the Entity-Relationship model and includes those basic operations related to the storage and access of design data objects that are common to all applications. The database is divided into workspaces, which are collections of OMS objects and relationships organized according to an application-dependent schema and forming a significant whole (e.g., a design project) from the user's point of view Workspace is also the unit for locking and access *** object is a collection of attributes. Each attribute has a name and value. The name is a string and the value is an arbitrary sequence of bytes. The value of an attribute can be of any length, from a single integer to an external representation of a complicated geometric model. A relationship is a named directed connection between two objects. Relationships have attributes like *** OMS library contains functions for creating, opening and removing workspaces, objects, relationships and attributes. All operations are carried out within transactions. The functions do not change the permanent data on the disk until the user calls the save_changes function, which saves the current state of all workspaces opened in a given *** next layer is a prototype data model built on top of OMS, which stores the objects in each workspace as a hierarchical tree by means of relationships. The leaves of the hierarchy are called representations and contain the actual data manipulated by the applications. Each representation is associated with a representation type, which in turn are linked to the application programs, or too
We evaluated a Prolog machine PSI (Personal Sequential Inference machine) for the purpose of improving and redesigning it. In this evaluation, we measured the execution speed and the dynamic characteristics of cache m...
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A discussion is presented of the relationship between two solid representation schemes: constructive solid geometry (CSG trees) and recursive spatial subdivision exemplified by the bintree, a generalization of the qua...
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ISBN:
(纸本)9780897911665
A discussion is presented of the relationship between two solid representation schemes: constructive solid geometry (CSG trees) and recursive spatial subdivision exemplified by the bintree, a generalization of the quadtree and octree. Detailed algorithms are developed and analyzed for evaluating CSG trees by bintree conversion, i.e., by determining explicitly which parts of space are solid and which empty. These techniques enable the addition of the time dimension and motion to the approximate analysis of CSG trees in a simple manner to solve problems such as dynamic interference detection. For "well-behaved" CSG trees, the execution time of the conversion algorithm is directly related to the spatial complexity of the object represented by the CSG tree (i.e., asymptotically it is proportional to the number of bintree nodes as the resolution increases). The set of well-behaved CSG trees includes all trees that define multidimensional polyhedra in a manner that does not give rise to tangential intersections at CSG tree nodes.
We present an algorithm for converting from the boundary representation of a solid to the corresponding octree model. The algorithm utilizes an efficient new connected components labeling technique. A novelty of the m...
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ISBN:
(纸本)9780897911382
We present an algorithm for converting from the boundary representation of a solid to the corresponding octree model. The algorithm utilizes an efficient new connected components labeling technique. A novelty of the method is the demonstration that all processing can be performed directly on linear quad and octree encodings. We illustrate the use of the algorithm by an application to geometric mine modeling and verify its performance by analysis and practical experiments.
Low-resource languages are challenging to process intelligent decision systems due to limited data and resources. As an effective way of processing low-resource languages in intelligent decision systems, fuzzy linguis...
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Low-resource languages are challenging to process intelligent decision systems due to limited data and resources. As an effective way of processing low-resource languages in intelligent decision systems, fuzzy linguistic approaches excel in transforming original uncertain linguistic information into highly structured data and learning valid decision rules between complex data structures. However, existing fuzzy linguistic methods may not fully capture realistic features of multi-attribute group decision-making (MAGDM), such as incomplete and hesitant linguistic expressions, stable information fusion, and bounded rationality of decision-makers (DMs). Therefore, it is necessary to develop a collaborative fuzzy language learning system based on bounded rationality, low-resource and robust decision-making. Specifically, we present a new multi-granularity (MG) group decision-making (GDM) scheme by using MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the full MULTIplicative form) and PT (Prospect Theory) for incomplete hesitant fuzzy linguistic information systems (I-HFL-ISs), where MG GDM aims to discover knowledge from complex MAGDM problems with MG features. To achieve the above goal, we first introduce the concept of MG-I-HFL-ISs to represent incomplete, hesitant and imprecise linguistic evaluation information offered by multiple decision-makers (DMs). Then, we apply a valid transformation scheme to convert MG-I-HFL-ISs into MG-HFL-ISs, and use the MG probability rough set (PRS) to develop a series of MG-HFL-PRSs with the support of MULTIMOORA. Afterwards, an HFL MG GDM method is designed by integrating MULTIMOORA and PT for solving MAGDM problems with MG-I-HFL-ISs. The proposed method can effectively synthesize low-resource languages and mine useful decision-making knowledge. At last, a drug selection case and a simulated case are performed for showing the rationality of the designed HFL MG GDM scheme.
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