17 papers · ranked by Valyu relevance
Sihan Yuan, Zhipeng Li, Junjie Zhang, AbdElRahman Ahmed ElSaid
Low-altitude terrain-following flight is essential for obtaining high-quality data in unmanned aerial vehicle (UAV) aeromagnetic surveys, but achieving efficient and safe path planning within complex terrains remains challenging. To address this issue, a Q-learning-assisted multi-strategy Starfish Optimization…
Mohamed Hashem, Hossam Hassan Ali, Ahmed Fathy, Mohamed Khamies
The proton exchange membrane fuel cell (PEMFC) can be effectively simulated, managed, and controlled via accurate identification of its model’s unknown parameters. The nonlinear properties of fuel cells (FCs) and the absence of complete data in the datasheet cause certain obstacles in this procedure. This study…
Cebrail Turkeri, Serdar Ekinci, Davut Izci, Dacheng Li + 2 more
This study addresses pressure regulation in an induction-motor-driven centrifugal fan and introduces two complementary novelties: a Softsign-PI controller that shapes the tracking error via a Softsign nonlinearity before PI regulation and a hybrid starfish optimization with a differential evolution (hSFOA-DE) scheme…
Davut Izci, Serdar Ekinci, Mostafa Jabari, Behçet Kocaman + 4 more
This paper proposes a Gudermannian function-based proportional-integral-derivative (G-PID) controller to enhance the transient performance of automatic voltage regulator (AVR) systems operating under highly dynamic conditions. By embedding the smooth and bounded nonlinear mapping of the Gudermannian function into the…
Yu Liu, Maosheng Fu, Zhengyu Liu, Huaiqing Liu + 6 more
'Yang Yang' 'Xiancun Zhou' 'Chaochuan Jia' 'Heming Jia'] The starfish optimization algorithm (SFOA) is a metaheuristic evolutionary intelligence algorithm with a great global search capability and strong adaptability. Although the SFOA has a good global search capability, it is not accurate enough in local search and…
Guangjian Zhang, Shilun Ma, Xulong Wang, Éloi Bossé
Current methods of detecting bogie gearbox faults mainly depend on manual judgment, which leads to inaccurate fault identification. In this study, a fault diagnosis model is proposed based on a pied kingfisher optimizer-improved complete ensemble empirical mode decomposition with adaptive noise (PKO-ICEEMDAN), improved…
Shir Maon, Odelia Melamed, Adi Shamir
Pruning is a process designed to reduce the number of weights in a large neural network. This can substantially speed up inference but might cause a considerable reduction in the model's accuracy, and thus it is usually followed by a healing process that regains some of the lost accuracy. In this paper, we propose a…
Mohammed Jameel, Hana Merah, Alaa M. Abd El-latif, Tareq M. Al-shami + 2 more
This paper presents a robust multi-objective optimization approach-the multi-objective starfish optimization algorithm (MOSFOA)-designed to address complex challenges in engineering design and optimal power flow analysis. As an advanced extension of the starfish optimization algorithm (SFOA), MOSFOA leverages…
Liang Wu, Chengcheng Ji, Sishuo Wang, Jianhao Lv
Starfish typically show pentameral symmetry, and they are typically similar in shape to a pentagram. Although starfish can evolve and live with other numbers of arms, the dominant species always show pentameral symmetry. We used mathematical and physical methods to analyze the superiority of starfish with five arms in…
Vlado Kešelj
We present a novel concept of universal text preprocessing and text-embedded programming (PTEP). Preprocessing and text-embedded programming has been widely used in programming languages and frameworks in a fragmented and mutually isolated way. The PTEP ideas can be found in the implementation of the TEX typesetting…
Chengcheng Ji, Liang Wu, Wenchan Zhao, Sishuo Wang + 1 more
Echinoderms take many forms of symmetry. Pentameral symmetry is the major form and the other forms are derived from it. However, the ancestors of echinoderms, which originated from Cambrian period, were believed to be bilaterians. Echinoderm larvae are bilateral during their early development. During embryonic…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…
Videh Seksaria
The swarm intelligence of animals is a natural paradigm to apply to optimization problems. Ant colony, bee colony, firefly and bat algorithms are amongst those that have been demonstrated to efficiently to optimize complex constraints. This paper proposes the new Sparkling Squid Algorithm (SSA) for multimodal…
Changin Oh, Kathleen P. Wilkie
We present the Toroidal Search Algorithm (TSA), a novel population-based metaheuristic optimization method inspired by the topology of a torus. Conventional metaheuristics frequently suffer from boundary stagnation, a phenomenon that severely degrades performance in bounded and high-dimensional search spaces. TSA…
Leo Cazenille, Nicolas Bredeche, Nathanael Aubert-Kato
We are interested in programming a swarm of molecular robots that can perform self-assembly to form specific shapes at a specific location. Programming such robot swarms is challenging for two reasons. First, the goal is to optimize both the parameters and the structure of chemical reaction networks. Second, the search…
Prasad U. Bandodkar, Razeen R. Shaikh, Gregory T. Reeves
Model development is essential to gain a mathematical understanding of the underlying phenomena in systems biology. In most models, it is typically hard to estimate the values of the biophysical/phenomenological parameters that characterize the model. The parameters are estimated by minimizing a function that reduces a…
Sonali Shinde, Ankur Patwardhan, Milind Watve
Among the classical models of optimization, some models maximize the ratio of returns per investment, others maximize the difference between returns and investment. However, the question under what conditions use of the ratio model is appropriate and under what conditions a difference model should be used remained…