Papers by Keyword: Convergence

Abstract: An important challenge of swarm robotics in practical applications lies with optimizing swarm navigation especially in dynamic or time-changing environments, which may affect the swarm’s overall performance. One technique to guide swarm behavior is by the use of the gradient climbing algorithm. This is an optimization technique where agents move towards increasing values of a scalar field, such as heat intensity or gas concentration, based on local gradient information and enables agents to navigate towards areas of interest by iteratively adjusting their positions to maximize the gradient. In complex and dynamic environments, achieving optimality may be difficult if appropriate swarm leadership strategies are absent. Leader selection entails identifying certain agents that may possess superior sensing capabilities, computational power, or strategic positioning within the swarm to guide the swarm behavior and decision-making. Therefore, this study develops an algorithm for dynamic leadership selection in swarm robotics for operations in changing environments such as in forest fires. Using the gradient information, leadership roles are assigned within the swarm to robots with the highest gradient value, which allows the algorithm to adapt to changing environmental conditions and improves the overall navigation towards the desired gradient maxima. The convergence of the swarm to the global maxima is evaluated through simulations, and shows that swarms with dynamic leader selection have convergence times that are less than half of the convergence times obtained in swarms with fixed leaders and swarms with no leaders selected. Also, the algorithm results in a reduced exploration area corresponding to improved energy efficiency when compared to the swarm with fixed leaders. The results demonstrate the effectiveness of dynamic leader selection in optimizing swarm behaviour in changing environments and its potential for real-world applications.

Abstract: The problem of natural oscillations of an elastic thin non-circular cylindrical wavy shell of an open profile is considered. The problem is based on the Rayleigh-Ritz energy method. On the basis of the proposed method for determining the lowest frequencies and forms of natural vibrations of shells of complicated shape, the numerical convergence of the developed algorithm is investigated. The evaluation of the results of this numerical experiment is given.

Abstract: The knowledge of potential tunneling hazards plays an important role in the selection of excavation method and designing a support system for underground openings. Failure of a rock mass will occur when the in-situ stress exceeds the in-situ rock mass strength. Nowadays, Ethiopia is trying to construct a newly planned railway route to connect the country’s development centers and link with ports of neighboring countries. However, this newly planned railway route will pass through the heart of highly fragile mountainous terrains and earthquake prone regions. Therefore, a study of potential Hazards for the new railway tunnel (T-07) at a particular critical section has been done by using two commercially available programs (Rocsupport and Phase2). The final Tunnel Convergence of the railway tunnel was found to be 1.11% (using Rocsupport) and 1.59% (using Phase2 finite element analysis).This discrepancy is attributed to the assumptions made in the Rocsupport software. Based on the results, a minor squeezing problem will be expected in this particular rail way tunnel section. Finally, a safe and economical reinforced concrete support type was recommended based upon the numerical analysis.

Abstract: The purpose of this study is to conduct a technology-level analysis and draw implications regarding the development of low energy advanced convergence building technology by utilizing information in research papers. With this aim, a citation analysis, a technology development stage analysis, a network analysis, and a technology associative map analysis were undertaken. The results showed that countries including the USA and China have carried out much research in the development of low energy advanced convergence building technology, and the technology level was found to have reached the maturity stage. Also, joint research has been conducted by region, and technology development has been done actively through ICT technology convergence such as electric and electronics and information communication. These analyzed results are expected to furnish useful information for strategy building in the development of low energy advanced convergence building technology.

Abstract: The article is focused on stress analysis in PTC Creo CAD System Simulation. There is provided a methodology for evaluating the results of these analyzes and attention of the pitfalls in their evaluation in the article. The presented methodology is explained in a simple example of beam loaded by force in the middle. In the example will present the procedure how to properly evaluate the results and how to solve problems. The aplications ot the methodoly willbe presented in expamles ot twou project.

Abstract: The article combines Fruit Fly optimization algorithm with Immune Optimization Algorithm into Fruit Fly-Immune algorithm to solve the multi-distribution center location problem with a NP-hard nature. Using MATLAB simulation technology and comparing to the simulation results of traditional Immune Optimization Algorithm shows that the use of Fruit Fly-Immune algorithm to solve multi-distribution center location problem can get better convergence results and weaken faster.

Abstract: To improve the performance of quantum-inspired evolutionary algorithms (QIEAs), a new kind of QIEAs——elite group guided QIEA (EQIEA) are proposed through introducing an elite group guidance updating approach to solve knapsack problems. In EQIEA, the elite group at each iteration is composed of a certain number of individuals with better fitness values in the current population; all the individuals in the elite group cooperate together to affect quantum-inspired gates to produce off spring. Knapsack problems, a class of well-known NP-complete combinatorial optimization problems, are used to conduct experiments. The choices of parameters in EQIEA are discussed in an empirical way. Extensive experiments show that the EQIEA outperform six variants of QIEAs recently reported in the literature in terms of the quality of solutions. This paper also analyzes the convergence of EQIEA and the six variants of QIEAs. Experimental results show that EQIEA has better convergence than the six variants of QIEAs.

Abstract: Understanding the structure of man-made elements of environmental human life within, in particular, of sociological knowledge is virtually absent, despite the formation of such theories of the middle level as sociological technology in the European Research Area. The necessity for social and humanitarian problems of knowledge determined by the need to expand its theoretical and methodological matrices beyond industry imperatives and methodological convergence of traditional paradigmatic bases on universalist grounds according to omplications of socialantropogenetic environmental dynamics and transformation of historically determined forms of social relations in a fundamentally new, hybrid People-phenomena. Scientific significance of article implementation is illustrated by the substantial renovation features of social theory by incorporating into its unusual subject area previously problematic groups of objects due to the specifics of the technological development present stage, as a product of "social" and the creation of scientific conceptual, methodological and methodical and instrumental complexes that ensure their understanding and predicting evolutionary development lines.

Abstract: as everyone knows, conditioning F²N² (Feed Forward Neural Network) in many ways, but ways, but has so far failed to completely solve the "convergence not quickly" and "convergence is not robust"of these two problems, thus affecting the application of F²N². Aiming at this problem, pro this paper puts forward a new method of processing and application of F²N², the method of flexible BPNN (Back Propagation Neural Network) algorithm and hierarchical optimization algo-rithm as a whole, each layeris independent rights attached to the conditioning process, carefully con-structed F²N² objective function is non linear series based on the description, not only can the optimization of each layer of the weight problem is simplified to a linear problem, but also can effec-tively controlthe linearity error. This paper provides several examples of application of F²N² automa-tic detection, the results of application show that, this method is superior to other methods.

Abstract: In this paper, we employ semi-discrete finite element method to study the convergence of the Cauchy equation. The convergent order can reach. In numerical results, the space domain is discrete by Lagrange interpolation function with 9-point biquadrate element. The time domain is discrete by two difference schemes: Euler and Crank-Nicolson scheme. Numerical results show that the convergence of Crank-Nicolson scheme is better than that of Euler scheme.