scholarly journals A NOVEL METHOD BASED ON BISECTION SEARCH ALGORITHM FOR EXTRACTING THE REFERENCE PARAMETERS OF PV MODULES

2019 ◽  
Author(s):  
Ceyhun Kapucu ◽  
Mete Çubukçu
Keyword(s):  
Search Algorithm ◽  
Pv Modules ◽  
Novel Method ◽  
Bisection Search ◽  
Reference Parameters

A local search algorithm for plug-and-play reconfiguration of interconnected systems

2016 ◽  
Vol 64 (12) ◽  
Author(s):  
Sven Bodenburg ◽  
Jan Lunze
Keyword(s):  
Search Algorithm ◽  
Interconnected Systems ◽  
Local Algorithm ◽  
Local Search Algorithm ◽  
Plug And Play ◽  
Interconnected System ◽  
Actuator Failures ◽  
Tank System ◽  
Novel Method ◽  
Set Up

AbstractThis paper proposes a novel method to organise the reconfiguration process of decentralised controllers after actuator failures have occurred in an interconnected system. If an actuator fails in a subsystem, only the corresponding control station should be reconfigured, although the fault has effects on other subsystems through the physical couplings. The focus of this paper is on the organisation of the reconfiguration process without a central coordinator. Design agents exist for each of the subsystems which store the subsystem model. A local algorithm is presented to gather models from neighbouring design agents with the aim to set-up a model which describes the behaviour of the faulty subsystem including its neighbours. Furthermore, local reconfiguration conditions are proposed to design a virtual actuator so as to guarantee stability of the overall system. As a consequence, the design agents “play” together to gather the model of the faulty subsystem before the reconfigured control station is “plugged-in” the control hardware. Plug-and-play reconfiguration is illustrated by an interconnected tank system.

scholarly journals Learning Diverse Bayesian Networks

2019 ◽  
Vol 33 ◽  
pp. 7793-7800
Author(s):  
Cong Chen ◽  
Changhe Yuan
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
Network Structure ◽  
Search Algorithm ◽  
Noisy Data ◽  
Local Neighborhood ◽  
Causal Ordering ◽  
True Model ◽  
Underlying Network ◽  
Novel Method

Much effort has been directed at developing algorithms for learning optimal Bayesian network structures from data. When given limited or noisy data, however, the optimal Bayesian network often fails to capture the true underlying network structure. One can potentially address the problem by finding multiple most likely Bayesian networks (K-Best) in the hope that one of them recovers the true model. However, it is often the case that some of the best models come from the same peak(s) and are very similar to each other; so they tend to fail together. Moreover, many of these models are not even optimal respective to any causal ordering, thus unlikely to be useful. This paper proposes a novel method for finding a set of diverse top Bayesian networks, called modes, such that each network is guaranteed to be optimal in a local neighborhood. Such mode networks are expected to provide a much better coverage of the true model. Based on a globallocal theorem showing that a mode Bayesian network must be optimal in all local scopes, we introduce an A* search algorithm to efficiently find top M Bayesian networks which are highly probable and naturally diverse. Empirical evaluations show that our top mode models have much better diversity as well as accuracy in discovering true underlying models than those found by K-Best.

An Improved Novel Global Harmony Search Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 2169-2172
Author(s):  
Zhi Kong ◽  
Guo Dong Zhang ◽  
Li Fu Wang
Keyword(s):  
Convergence Rate ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Global Optimum ◽  
Harmony Search Algorithm ◽  
Test Functions ◽  
Benchmark Test ◽  
Novel Method ◽  
Benchmark Test Functions

This paper develops an improved novel global harmony search (INGHS) algorithm for solving optimization problems. INGHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of novel global harmony search (NGHS) algorithm. Simulations for five benchmark test functions show that INGHS possesses better ability to find the global optimum than that of harmony search (HS) algorithm. Compared with NGHS and HS, INGHS is better in terms of robustness and efficiency.

scholarly journals Novel Method for Quantifying Optical Losses of Glass and Encapsulant Materials of Silicon Wafer Based PV Modules

2012 ◽  
Vol 15 ◽  
pp. 403-412 ◽  
Author(s):  
Yong Sheng Khoo ◽  
Timothy M. Walsh ◽  
Armin G. Aberle
Keyword(s):  
Silicon Wafer ◽  
Optical Losses ◽  
Pv Modules ◽  
Novel Method

scholarly journals Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1328 ◽  
Author(s):  
Thang Nguyen ◽  
Dieu Vo ◽  
Nguyen Vu Quynh ◽  
Le Van Dai
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Fuel Cost ◽  
Novel Method

scholarly journals A Novel Method for Source Tracking of Chemical Gas Leakage: Outlier Mutation Optimization Algorithm

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 71
Author(s):  
Zhiyu Xia ◽  
Zhengyi Xu ◽  
Dan Li ◽  
Jianming Wei
Keyword(s):  
Swarm Intelligence ◽  
Optimization Algorithm ◽  
Search Algorithm ◽  
Test Session ◽  
Source Tracking ◽  
Gas Leakage ◽  
Industrial Parks ◽  
Source Tracing ◽  
Direct Search Algorithm ◽  
Novel Method

Chemical industrial parks, which act as critical infrastructures in many cities, need to be responsive to chemical gas leakage accidents. Once a chemical gas leakage accident occurs, risks of poisoning, fire, and explosion will follow. In order to meet the primary emergency response demands in chemical gas leakage accidents, source tracking technology of chemical gas leakage has been proposed and evolved. This paper proposes a novel method, Outlier Mutation Optimization (OMO) algorithm, aimed to quickly and accurately track the source of chemical gas leakage. The OMO algorithm introduces a random walk exploration mode and, based on Swarm Intelligence (SI), increases the probability of individual mutation. Compared with other optimization algorithms, the OMO algorithm has the advantages of a wider exploration range and more convergence modes. In the algorithm test session, a series of chemical gas leakage accident application examples with random parameters are first assumed based on the Gaussian plume model; next, the qualitative experiments and analysis of the OMO algorithm are conducted, based on the application example. The test results show that the OMO algorithm with default parameters has superior comprehensive performance, including the extremely high average calculation accuracy: the optimal value, which represents the error between the final objective function value obtained by the optimization algorithm and the ideal value, reaches 2.464e-15 when the number of sensors is 16; 2.356e-13 when the number of sensors is 9; and 5.694e-23 when the number of sensors is 4. There is a satisfactory calculation time: 12.743 s/50 times when the number of sensors is 16; 10.304 s/50 times when the number of sensors is 9; and 8.644 s/50 times when the number of sensors is 4. The analysis of the OMO algorithm’s characteristic parameters proves the flexibility and robustness of this method. In addition, compared with other algorithms, the OMO algorithm can obtain an excellent leakage source tracing result in the application examples of 16, 9 and 4 sensors, and the accuracy exceeds the direct search algorithm, evolutionary algorithm, and other swarm intelligence algorithms.

A Novel Method of Designing Quiet Zones in Diffuse Fields

2013 ◽  
Vol 135 (1) ◽  
Author(s):  
Wen-Kung Tseng
Keyword(s):  
Neural Network ◽  
Search Algorithm ◽  
Optimization Method ◽  
Channel System ◽  
Active Systems ◽  
Diffuse Fields ◽  
Novel Method ◽  
Simulation Results ◽  
Channel Systems ◽  
Shape And Size

This paper presents the analysis of quiet zones in broadband diffuse fields using two- and three-channel systems. An optimization method combining a neural network with a search algorithm has been used to design quiet zones in broadband diffuse fields. Simulation results using the proposed method are presented. Experiments are also carried out to validate the simulation results. The results show that a good attenuation in the desired zone of quiet over space and frequency is achieved using a two-channel system. However, a better performance could be achieved using a three-channel system. Also, the shape and location of quiet zones over space and frequency could be controlled by using the proposed method. The results also show that the shape and size of 10-dB quiet zones are both similar in simulations and experiments. The main contributions of the paper are that a novel method of designing quiet zones in broadband diffuse fields is proposed and the performance of the active systems is analyzed through computer simulations and experiments.

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