15 papers · ranked by Valyu relevance
Junali Jasmine Jena, Samarendra Chandan Bindu Dash, Suresh Chandra Satapathy
'Suresh Chandra Satapathy'] Swarm-based optimization algorithms have been popularly used these days for optimization of various real world problems but sometimes it becomes hard to estimate the associated characteristics due to their stochastic nature. To ensure a steady performance of these techniques, it is essential…
Yasin Yigit, Orhan Dagdeviren, Moharram Challenger, Omer Gurewitz
Wireless sensor networks (WSNs) achieving environmental sensing are fundamental communication layer technologies in the Internet of Things. Battery-powered sensor nodes may face many problems, such as battery drain and software problems. Therefore, the utilization of self-stabilization, which is one of the…
Fidele Fouogang Ngwane, Samuel Nemsefor Jator
A continuous Trigonometrically-fitted Second Derivative Method (CTSDM) whose coefficients depend on the frequency and stepsize is constructed using trigonometric basis functions. A discrete Trigonometrically-fitted second derivative method (TSDM) is recovered from the CTSDM as a by-product and applied to solve initial…
Florin Leon
The main focus of the paper is the stability analysis of a class of multiagent systems based on an interaction protocol which can generate different types of overall behaviours, from asymptotically stable to chaotic. We present several interpretations of stability and suggest two methods to assess the stability of the…
Reza Ghaemi, Jing Sun, Pablo A Iglesias, Domitilla Del Vecchio
Background Quantifying the robustness of biochemical models is important both for determining the validity of a natural system model and for designing reliable and robust synthetic biochemical networks. Several tools have been proposed in the literature. Unfortunately, multiparameter robustness analysis suffers from…
Zachary C Williams, Dylan E McNamara
Empirical diagnosis of stability has received considerable attention, often focused on variance metrics for early warning signals of abrupt system change or delicate techniques measuring Lyapunov spectra. The theoretical foundation for the popular early warning signal approach has been limited to relatively simple…
Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre
Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evolutionary algorithms are particularly suitable for dynamic optimisation because a large population can contain different solutions that may…
Jonas M. B. Haslbeck, Dirk U. Wulff
We improve instability-based methods for the selection of the number of clusters k in cluster analysis by developing a corrected clustering distance that corrects for the unwanted influence of the distribution of cluster sizes on cluster instability. We show that our corrected instability measure outperforms current…
Tianqi Xia, Mingming Zhang, Shaohong Wang, Heming Jia + 2 more
'Laith Abualigah' 'Xuewen Xia'] Aiming at the accurate prediction of the inception of instability in a compressor, a dynamic system stability model is proposed based on a sparrow-inspired meta-heuristic optimization algorithm in this article. To achieve this goal, a spatial mode is employed for flow field feature…
Mohammed Tadj, Lakhdar Chaib, Abdelghani Choucha, Mohannad Alhazmi + 3 more
'Abdullah Alwabli' 'Mohit Bajaj' 'Shir Ahmad Dost Mohammadi'] Power systems exhibit nonlinearity. causing dynamic instability and complex power oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm (NBA) to achieve ideal Power System Stabilizers (PSSs) in a multimachine power system.…
Xiuye Wang, Xiang Li, Qinqin Sun, Chenjun Xia + 2 more
'Heming Jia'] In this paper, an Improved Manta Ray Foraging Optimization (IMRFO) algorithm is proposed to address the challenge of parameter tuning in traditional PID controllers for artillery stabilization systems. The proposed algorithm introduces chaotic mapping to optimize the initial population, enhancing the…
Cong Xie, Kun Wang, Ivanka Stamova
Uniform error estimates with power-type asymptotic constants of the finite element method for the unsteady Navier-Stokes equations are deduced in this paper. By introducing an iterative scheme and studying its convergence, we firstly derive that the solution of the Navier-Stokes equations is bounded by power-type…
Yuyong Tan, Jianfeng Wang, Bin Wang, Yongquan Zhou
The intelligent optimization algorithm has become a key tool in complex and intertwined engineering and science fields. However, with the increasing complexity of the problem and the rapid expansion of the data scale, the performance of the algorithm has been challenged unprecedentedly. The artificial lemming algorithm…
Weiwei Cheng, Guigen Nie
High-performance oscillators, atomic clocks for instance, are important in modern industries, finance and scientific research. In this paper, the authors study the estimation and prediction of long-term stability based on convex optimization techniques and compressive sensing. To take frequency drift into account, its…
Wen Sun, Jin-Kao Hao, Zihao Wu, Wenlong Li + 2 more
'Thomas Stützle'] Given a directed graph G = (V, E), a feedback vertex set is a vertex subset C whose removal makes the graph G acyclic. The feedback vertex set problem is to find the subset C* whose cardinality is the minimum. As a general model, this problem has a variety of applications. However, the problem is…