We present an algorithm to generate point distributions with high-quality blue noise characteristics on discrete surfaces. It is based on the concept of Capacity-Constrained Surface Triangulation (CCST), which approximates the underlying continuous surface as a well-formed triangle mesh with uniform triangle areas. The algorithm takes a triangle mesh and the number of sample points as input, an...

This paper presents a design space exploration method for mixed eventtriggered and time-triggered real-time systems in the automotive domain. A design space exploration model is used that is capable of modeling and optimizing state-ofthe-art automotive systems including the resource allocation, task distribution, message routing, and scheduling. The optimization is based on a heuristic approach...

In this paper we focus on a continuously deteriorating two units series equipment which its failure can not be measured by cost criterion. For these types of systems avoiding failure during the actual operation of the system is extremely important. In this paper we determine inspection periods and maintenance policy in such a way that failure probability is limited to a pre-specified value and ...

This paper presents a global mesh optimization framework for 3D triangular meshes of arbitrary topology. The mesh optimization task is formulated as an energy minimization problem including data attached terms measuring the fidelity to the original mesh as well as a shape potential favoring high quality triangles. Since the best solution for vertex relocation is strongly related to the mesh con...

In this paper, condition monitoring of a geared rotor system using finite element (FE) model updating and particle swarm optimization (PSO) method is onsidered. For this purpose, employing experimental data from the geared rotor system, an updated FE model is obtained. The geared rotor system under study consists of two shafts, four bearings, and two gears. To get the experimental data,  iezoel...

This letter considers the problem of multi-agent distributed linear regression in presence system noises. In this problem, comprises multiple agents wherein each agent locally observes a set data points, and agents' goal is to compute model that best fits collective points observed by all agents. We consider server-based architecture where interact with common server solve problem; however, can...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

in this paper, a new enhanced version of the particle swarm optimization (pso) is presented. an important modification is made by adding probabilistic functions into pso, and it is named probabilistic particle swarm optimization (ppso). since the variation of the velocity of particles in pso constitutes its search engine, it should provide two phases of optimization process which are: explorati...