scholarly journals Development of a Power and Communication Bus Using HIL and Computational Intelligence

2021 ◽  
Vol 11 (18) ◽  
pp. 8709
Author(s):  
Marek Sznura ◽  
Piotr Przystałka
Keyword(s):  
Computational Intelligence ◽  
Heuristic Algorithms ◽  
Optimal Solution ◽  
Optimization Method ◽  
Main Research ◽  
Optimization Task ◽  
Criterion Functions ◽  
Research Goal ◽  
Loop Technique ◽  
Selection Of

This paper deals with the development of a power and communication bus named DLN (Device Lightweight Network) that can be seen as a new interface with auto-addressing functionality to transfer power and data by means of two wires in modern cars. The main research goal of this paper is to elaborate a new method based on a hardware in the loop technique aided by computational intelligence algorithms in order to search for the optimal structure of the communication modules, as well as optimal features of hardware parts and the values of software parameters. The desired properties of communication modules, which have a strong influence on the performance of the bus, cannot be found using a classical engineering approach due to the large number of possible combinations of configuration of the hardware and software parts of the whole system. Therefore, an HIL-based optimization method for bus prototyping is proposed, in which the optimization task is formulated as a multi-criteria optimization problem. Several criterion functions are proposed, corresponding to the automotive objectives and requirements. Different soft computing optimization algorithms, such as a single-objective/multi-objectives evolutionary algorithm and a particle swarm optimization algorithm, are applied to searching for the optimal solution. The verification study was carried out in order to show the merits and limitations of the proposed approach. Attention was also paid to the problem of the selection of the behavioural parameters of the heuristic algorithms. The overall results proved the high practical potential of the DLN, which was developed using the proposed optimization method.

scholarly journals Analysis of tank safety with propane-butane on LPG distribution station

2017 ◽  
Vol 19 (4) ◽  
pp. 99-102 ◽  
Author(s):  
Zbigniew Krzysiak ◽  
Waldemar Samociuk ◽  
Grzegorz Bartnik ◽  
Krzysztof Plizga ◽  
Dariusz Dziki ◽  
...  
Keyword(s):  
Safety Valve ◽  
Technological Changes ◽  
Loss Of Life ◽  
Main Research ◽  
Tank System ◽  
Research Goal ◽  
Distribution Station ◽  
Research Analysis ◽  
Selection Of ◽  
Propane Butane

Abstract An analysis of the risk of failure in the safety valve – tank with propane-butane (LPG) system has been conducted. An uncontrolled outflow of liquid LPG, caused by a failure of the above mentioned system has been considered as a threat. The main research goal of the study is the hazardous analysis of propane-butane gas outflow for the safety valve – LPG tank system. The additional goal is the development of an useful method to fast identify the hazard of a mismatched safety valve. The results of the research analysis have confirmed that safety valves are basic protection of the installation (tank) against failures that can lead to loss of life, material damage and further undesired costs of their unreliability. That is why a new, professional computer program has been created that allows for the selection of safety valves or for the verification of a safety valve selection in installations where any technical or technological changes have been made.

District Energy Development: Optimal Selection of CCHP System Scheme

2012 ◽  
Vol 614-615 ◽  
pp. 1919-1923
Author(s):  
Zong Yi Shao ◽  
Hong Lian Wang
Keyword(s):  
Evaluation Model ◽  
Ideal Point ◽  
District Heating ◽  
Optimization Method ◽  
Function Evaluation ◽  
Multi Objective Optimization ◽  
Optimization Scheme ◽  
Main Research ◽  
District Energy ◽  
Selection Of

According to the energy strategy of China, CCHP system in district heating as the main research object, on a project’s three schemes with the multi-objective optimization method to establish the function evaluation model, quantification and calculate the evaluation index, compare the distance of the scheme from ideal point, finally selecting the optimization scheme.

scholarly journals A COMPARISON BETWEEN MILP AND MINLP APPROACHES TO OPTIMAL SOLUTION OF NONLINEAR DISCRETE TRANSPORTATION PROBLEM

Transport ◽  
2014 ◽  
Vol 30 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Uroš Klanšek
Keyword(s):  
Transportation Problem ◽  
Optimal Solution ◽  
Optimization Method ◽  
Mixed Integer ◽  
Test Problems ◽  
Model Formulation ◽  
Reference Test ◽  
Adequate Model ◽  
Integer Nonlinear Programming ◽  
Selection Of

Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP) represents a challenging task in transportation science. Development of an adequate model formulation and selection of an appropriate optimization method are thus significant for attaining valuable solution of the NDTP. When nonlinearities appear within the criterion of optimization, the NDTP can be formulated directly as a Mixed-Integer Nonlinear Programming (MINLP) task or it can be linearized and converted into a Mixed-Integer Linear Programming (MILP) problem. This paper presents a comparison between MILP and MINLP approaches to exact optimal solution of the NDTP. The comparison is based on obtained results of experiments executed on a set of reference test problems. The paper discusses advantages and limitations of both optimization approaches.

scholarly journals A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 4116-4126 ◽  
Keyword(s):  
Information Transfer ◽  
Heuristic Algorithms ◽  
Optimal Path ◽  
Optimal Solution ◽  
Detailed Comparison ◽  
Critical Issue ◽  
Central Administration ◽  
Mobile Adhoc Networks ◽  
Adhoc Networks ◽  
Selection Of

Due to the infrastructure-less and no central administration architecture, Mobile Adhoc Networks (MANETs) gained significant interest in various wireless information transfer related applications. However, the selection of an optimal path to transmit the data is a more critical issue in MANETs because the nodes are resource-constrained and also have mobility. To provide an optimal solution to this constraint, various methods are proposed in earlier. Initially, some basic routing protocols are developed and further by modifying the base protocols so many strategies are developed. The proposed Research paper outlines a detailed survey about the earlier developed such strategies and also done a fined classification based on the methodology they followed. Broadly the comprehensive routing approaches are classified into two classes, namely single metric-based approaches and multiple metricsbased approaches. The further classification is done based on the routing protocol used at the base. Due to the widespread utilization of meta-heuristic algorithms, some authors used those techniques also in the discovery of an optimal path and some approaches are outlined in this paper. Moreover, at every phase, a fine and detailed comparison is shown through various constraints.

scholarly journals Comparision of the walk techniques for fitness state space analysis in vehicle routing problem

2021 ◽  
Vol 61 (6) ◽  
pp. 672-683
Author(s):  
Anita Agárdi ◽  
László Kovács ◽  
Tamás Bányai
Keyword(s):  
State Space ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Geometrical Property ◽  
Heuristic Algorithms ◽  
Optimization Method ◽  
Test Results ◽  
Routing Problem ◽  
State Space Methods ◽  
Optimization Task

The Vehicle Routing Problem (VRP) is a highly researched discrete optimization task. The first article dealing with this problem was published by Dantzig and Ramster in 1959 under the name Truck Dispatching Problem. Since then, several versions of VRP have been developed. The task is NP difficult, it can be solved only in the foreseeable future, relying on different heuristic algorithms. The geometrical property of the state space influences the efficiency of the optimization method. In this paper, we present an analysis of the following state space methods: adaptive, reverse adaptive and uphill-downhill walk. In our paper, the efficiency of four operators are analysed on a complex Vehicle Routing Problem. These operators are the 2-opt, Partially Matched Crossover, Cycle Crossover and Order Crossover. Based on the test results, the 2-opt and Partially Matched Crossover are superior to the other two methods.

THE BUYER’S GENDER AND THE EFFECT OF PROMOTION ACTIVITIES ON THE PROCESS OF SELECTION OF FOOD PRODUCTS

2018 ◽  
Vol XIX (6) ◽  
pp. 11-18
Author(s):  
Marek Angowski
Keyword(s):  
Dairy Products ◽  
Meat Products ◽  
Food Products ◽  
Decision Making Process ◽  
Product Selection ◽  
Main Research ◽  
Research Goal ◽  
The Impact ◽  
Selection Of ◽  
Purchasing Process

The aim of the considerations and analyzes presented in the publication is to approximate the importance of gender in shaping the behavior of buyers in the decision-making process. The main research goal was to assess the impact of promotional activities on the consumer purchasing process on the market for selected food products. The research part was based on the results of surveys that were conducted in 2016 on a group of 486 food consumers using the targeted selection method. The research has shown that the importance of particular promotional activities in the purchasing process of the surveyed consumers was different depending on the gender. Statistical analyzes show that these differences were not large. Based on the respondents’ answers, it can be noticed that men were much more sensitive to promotional activities in their decisions related to product selection. The respondents in the group of purchasers of fruit and vegetables and dairy products were the most diversified in the assessment of the impact of advertising on the basis of gender, and the least diversified were the purchaser of meat products.

scholarly journals Optimization of Safety System Structures in Railway Transport

2021 ◽  
Vol 13 (19) ◽  
pp. 10700
Author(s):  
Adrian Gill ◽  
Piotr Smoczyński
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Optimization Method ◽  
Safety System ◽  
Railway Transport ◽  
Railway Traffic ◽  
System Components ◽  
Selection Of

One of the basic strategies for reacting to unacceptable risk is introducing new elements to the analyzed domain. These elements and the relations between them can be treated as a safety system. Although expanding the safety system usually reduces the risk of specific hazards, it often leads to new problems resulting from its excessive development: the system becomes costly and difficult to understand. One of the methods of avoiding the negative issues is to apply an approach described in this paper, which is based on an optimization method making use of the results of risk analysis. The article contains a detailed mathematical description of an optimal solution search algorithm, enabling the selection of a configuration of safety system components that will be the most appropriate in terms of the degree of risk reduction and the related costs. The theoretical part was supplemented with a working example concerning railway traffic control systems. Using the proposed method, it is possible to obtain an optimal structure of a safety system, ensuring at least a tolerated level of risk, adequate to the identified hazards.

scholarly journals Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Haris Masood ◽  
Amad Zafar ◽  
Muhammad Umair Ali ◽  
Muhammad Attique Khan ◽  
Kashif Iqbal ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Optimization Method ◽  
Correlation Filters ◽  
Swarm Optimization ◽  
Promising Tool ◽  
Particle Swarm Optimization Technique ◽  
Selection Of

In the past few decades, the field of image processing has seen a rapid advancement in the correlation filters, which serves as a very promising tool for object detection and recognition. Mostly, complex filter equations are used for deriving the correlation filters, leading to a filter solution in a closed loop. Selection of optimal tradeoff (OT) parameters is crucial for the effectiveness of correlation filters. This paper proposes extended particle swarm optimization (EPSO) technique for the optimal selection of OT parameters. The optimal solution is proposed based on two cost functions. The best result for each target is obtained by applying the optimization technique separately. The obtained results are compared with the conventional particle swarm optimization method for various test images belonging from different state-of-the-art datasets. The obtained results depict the performance of filters improved significantly using the proposed optimization method.

Identifying Measurement Invariant Item Sets in Cross-Cultural Settings Using an Automated Item Selection Procedure

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid
Keyword(s):  
Measurement Invariance ◽  
Optimal Solution ◽  
Selection Procedure ◽  
Cross Cultural ◽  
Item Selection ◽  
Ant System ◽  
Item Quality ◽  
Ant System Algorithm ◽  
Selection For ◽  
Selection Of

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.

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