Industrial Internet-of-Things (IIoT) is a powerful IoT application which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places and packaging ...
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Travelling Salesman Problem (TSP) is a real-world Non-deterministic polynomial-time hard - combinatorial optimization problem. Given several points (cities) to be visited, the objective of the problem is to find the s...
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ISBN:
(数字)9781728127910
ISBN:
(纸本)9781728127927
Travelling Salesman Problem (TSP) is a real-world Non-deterministic polynomial-time hard - combinatorial optimization problem. Given several points (cities) to be visited, the objective of the problem is to find the shortest possible route (called Hamiltonian Path) that visits each point exactly once and returns back to the starting point. Several exact, approximate and heuristic algorithms have been proposed to solve the TSP. The objective of this paper is to compare 10 such different algorithms on the basis of cost of the path found and time taken to find that solution in order to identify an algorithm which works most efficiently and thus, can be used in practical scenarios. Therefore, the comparative analysis has been made without time constraints as a preliminary test and then with a constraint of 1 second to determine the most efficient algorithm. This algorithm was then used at the core of the web-based tool (a practical use case) developed for release in public domain which helps users find an optimal round-trip route (i.e. Hamiltonian Path) among the points marked on the map. Google Maps API was used for providing map interface and obtaining real-time distance/duration data (matrix) in the web-application front end.
Chaotic system parameter modeling is one of the significant topics in the field of non-linear science and therefore has attracted the attention of many researchers in this field. This paper discusses parameter recogni...
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Chaotic system parameter modeling is one of the significant topics in the field of non-linear science and therefore has attracted the attention of many researchers in this field. This paper discusses parameter recognition of Fractional Order Financial Chaotic System by employing different metaheuristic algorithms. The implemented algorithms include Artificial bee colony, Grey wolf optimizer, Whale optimization algorithm and Ant colony optimizer. Mean Square Error is employed as objective function to estimate parameters of system under consideration. Results of optimized parameters using the above-mentioned optimization are compared with each other and discussed in the paper. The overall outcome shows that Whale optimization algorithm gives more accurate and robust results with higher convergence rate as compared with other algorithms.
This paper presents a new wideband high gain CMOS transimpedance amplifier without using any inductor. In the proposed TIA, gain enhancing path is introduced in the active voltage-current feedback TIA topology to incr...
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We perform observational confrontation and cosmographic analysis of f(T, TG) gravity and cosmology. This higher-order torsional gravity is based on both the torsion scalar, as well as on the teleparallel equivalent of...
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Cameras play an important role in capturing precious moments of people's lives in a photograph that can be seen and cherished by them or by their loved ones any time in their lives. This makes it imperative to hav...
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Gas Metal Arc Welding (GMAW) is a widely used semi-automated joining process used in metal fabrication and for producing good quality welds with high deposition rate. The process is versatile because of its ability to...
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Gas Metal Arc Welding (GMAW) is a widely used semi-automated joining process used in metal fabrication and for producing good quality welds with high deposition rate. The process is versatile because of its ability to weld in all positions and the suitability of wide range of metals and alloys with compatible filler wire to get welded. The process further can be fully automated by using programmable robots thus making it suitable for mass production. Like other fusion welding processes, because of rapid heating and cooling cycles, various types of distortions are encountered, which are detrimental to the performance of the weld. Out of various kinds of distortions, the angular one is found to be prominent. This distortion once occurred require considerate amount of post-welding rectifications and creates design related issues because of the mismatch in the assembly. Therefore, the endeavour should be to keep this distortion minimum by selecting the weld parameters optimally. The present investigative work aims to study the effect of different individually controllable input parameters like wire feed rate, welding speed, voltage, standoff distance and torch angle on the resulting angular distortion of Stainless Steel 202 plates. SS 202 is manganese alloyed austenitic stainless steel, which is designed as a cost-effective alternative to 304 grades with similar corrosion and mechanical properties at lower temperatures and less harsh corrosive environment. By the use of statistical approach, an attempt has been made to develop a mathematical model that relates these input parameters to the response parameter which is angular distortion. This model would prove to be helpful in predicting the resulting angular distortion at different combinations of input parameters. Statistical technique of central composite face centred design has been used to develop the model and ANOVA is used to check the adequacy of the same. Response Surface Methodology (RSM) has been used to analy
The aim of this paper is to uncover the researchers in machine learning using author-topic model (ATM). We collect 16,855 scientific papers from six top journals in the field of machine learning published from 1997 to...
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