in this research, a two-phase algorithm based on the artificial neural network (ann) and a harmony search (hs) algorithm has been developed with the aim of assessing the reliability of structures with implicit limit state functions. the proposed method involves the generation of datasets to be used specifically for training by finite element analysis, to establish an ann model using a proven an...

The reliability test for embedded software system is very difficult due to its complex structure and large scale. Markov usage model which describes the software usage with Markov process is widely used for statistical test. Software statistical test based on Markov usage model is an effective approach to the generation of test cases with high efficiency and the evaluation of software reliabili...

A new column generation decomposition algorithm is described and demonstrated to determine efficient solutions for the reliability-redundancy allocation problem. The problem is a well-known nonlinear mixed integer programming problem which involves the maximization of system reliability by simultaneously selecting component reliability levels and redundancy levels as part of systems engineering...

Today, the electricity power system is the most complicated engineering system has ever been made. The integrated power generating stations with power transmission lines has created a network, called complex power network. The reliability estimation of such complex power networks is a very challenging problem, as one cannot find any immediate solution methods in current literature. In this pape...

Distributed Generation (DG) plays an important role in current power systems with high demand growth. DG provides an alternative to the traditional electricity sources like oil, gas, coal, water, etc. and can also be used to enhance the current electrical system. DG distribution is likely to improve the reliability of a power distribution system by at least partially minimizing unplanned power ...

In this paper, optimal generation expansion planning (GEP) is investigated considering purchase prices, profits of independent power producers (IPPs) and reliability criteria using a new method based on hybrid coded Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In this approach, optimal purchase price of each IPP is obtained by HCGA and reliability criteria are calculated by PSO...

This paper is aimed at analyzing the possible power options and configurations for remote locations in the oil and gas industry with the view of proposing a cost effect power supply option suitable for the different operational requirements at these remote locations. It reviews the different power options available and presents selection criteria for the optimum choice of power generation techn...

attention in recent times due to constraints associated with conventional power generation and new advancements in DG technologies .The need to operate the power system economically and with optimum levels of reliability has further led to an increase in interest in Distributed Generation. However it is important to place Distributed Generator on an optimum location so that the purpose of loss ...

in this paper, multi-microgrids (mmg) are considered as future smart distribution grids, in which small scale energy resources (sser) are main power generation units with small scales. optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. the defined operating problem is optimized using a heuristic algorithm considering uncer...

6 Next generation wireless communication systems will consist of a large number of mobile or static terminals and should be 7 able to fulfill multiple requirements depending on the current situation. Low latency and high packet success transmission rates 8 should be mentioned in this context and can be summarized as ultra-reliable communications (URC). Especially for domains 9 like mobile gamin...