18 papers · ranked by Valyu relevance
Zhouquan Feng, Wenzan Wang, Jiren Zhang, Rafal Burdzik + 4 more
'Mahmoud Bayat' 'Wei Xu' 'Nizar Faisal Alkayem'] Structural model updating is one of the most important steps in structural health monitoring, which can achieve high-precision matching between finite element models and actual engineering structures. In this study, a Bayesian model updating method with modal flexibility…
Rafał Brociek, Mariusz Pleszczyński, Adam Zielonka, Agata Wajda + 5 more
'Salvatore Coco' 'Grazia Lo Sciuto' 'Christian Napoli' 'Marcin Bernaś' 'Bartłomiej Płaczek'] The paper presents research on a specific approach to the issue of computed tomography with an incomplete data set. The case of incomplete information is quite common, for example when examining objects of large size or…
Mohd Nadhir Ab Wahab, Amril Nazir, Ashraf Khalil, Benjamin Bhatt + 4 more
'Mohd Halim Mohd Noor' 'Muhammad Firdaus Akbar' 'Ahmad Sufril Azlan Mohamed' 'Sandeep Samantaray'] Path planning is a crucial element of mobile robotics applications, attracting considerable interest from academics. This paper presents a path-planning approach that utilises the Enhanced Firefly Algorithm (EFA), a new…
Nghi Huu Duong, Duy Vo, Pruettha Nanakorn
This study proposes an algorithm titled a statistical firefly algorithm (SFA) for truss topology optimization. In the proposed algorithm, historical results of fireflies' motions are used in hypothesis testing to limit the motions of fireflies that are suggested by current information exchanges between fireflies only…
Zhuo Dai, Yefu Zhou, Bibhas Chandra Giri
In supply chain management, the location of facilities, inventory control, and vehicle routing are three key components. This paper incorporates a two-warehouse inventory system into the location- inventory-routing problems (LIRPs) and develops LIRP models with two warehouses in one-level, two-level, and three-level…
Abiodun M. Ikotun, Faustin Habyarimana, Absalom E. Ezugwu
K-Means is a well-established clustering algorithm widely used in data analysis and various real-world applications. However, its requirement for a predefined number of clusters limits its effectiveness in automatic clustering tasks. To address this, metaheuristic optimisation algorithms have been integrated into…
Tao Tian, Zhiwei Liang, Yuanfei Wei, Qifang Luo + 2 more
'Heming Jia'] With the wide application of mobile robots, mobile robot path planning (MRPP) has attracted the attention of scholars, and many metaheuristic algorithms have been used to solve MRPP. Swarm-based algorithms are suitable for solving MRPP due to their population-based computational approach. Hence, this…
Aswathi Malanthara, Ishaan R. Kale
Knapsack Problems Authors: ['Aswathi Malanthara' 'Ishaan R. Kale'] This paper addresses the challenges faced by algorithms, such as the Firefly Algorithm (FA) and the Genetic Algorithm (GA), in constrained optimization problems. While both algorithms perform well for unconstrained problems, their effectiveness…
Tuan Anh Le, Xin‐She Yang
—This paper proposes a generalized Firefly Algorithm (FA) to solve an optimization framework having objective function and constraints as multivariate functions of independent optimization variables. Four representative examples of how the proposed generalized FA can be adopted to solve downlink beamforming problems…
Pitawelayalage Dasun Dileepa Pitawela, Gamage Upeksha Ganegoda
Data mining focuses on discovering interesting, non-trivial and meaningful information from large datasets. Data clustering is one of the unsupervised and descriptive data mining task which group data based on similarity features and physically stored together. As a partitioning clustering method, K-means is widely…
Sahil Nokhwal, Chandrasekharan Manoj, Ankit Chaudhary
Various methods have been proposed to secure access to sensitive information over time, such as the many cryptographic methods in use to facilitate secure communications on the internet. But other methods like steganography have been overlooked which may be more suitable in cases where the act of transmission of…
Mạnh Kha Hoàng, Tuan Anh Le, Thuc Kieu-Xuan, Tong Van Luyen + 2 more
'Xin‐She Yang' 'Derrick Wing Kwan Ng'] Abstract—This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are optimized simultaneously to maximize the minimum beamforming gain across several…
Yong Li, Jinxing Li, Yu Sun, Haisheng Li + 1 more
With the wide application of computational fluid dynamics in various fields and the continuous growth of the complexity of the problem and the scale of the computational grid, large-scale parallel computing came into being and became an indispensable means to solve this problem. In the numerical simulation of…
Shahbaz Hussain
The economic dispatch of generators is a major concern in thermal power plants that governs the share of each generating unit with an objective of minimizing fuel cost by fulfilling load demand. This problem is not as simple as it looks because of system constraints that cannot be neglected practically. Moreover…
Raphaël Sarfati, Kunaal Joshi, Owen Martin, Julie C. Hayes + 2 more
Left alone, Photinus carolinus fireflies flash without an intrinsic period, making it uncertain when they may flash next. Yet when gathering at the mating lek in large swarms, these fireflies transition into predictability, synchronizing with their neighbors with a rhythmic periodicity. Here we propose a mechanism for…
Chantal Nguyen, Isabella Huang, Orit Peleg
Fireflies’ dazzling light displays are courtship rituals: flying males announce their presence as suitable mates to the females on the ground. Their light signal is composed of a species-specific on/off light sequence repeated periodically. However, thousands of fireflies flashing in a swarm can create immense visual…
Owen Martin, Chantal Nguyen, Raphael Sarfati, Murad Chowdhury + 4 more
Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable to light pollution. As urbanization continues to brighten the night sky, firefly populations are under constant stress, and close to half of the species are now threatened. Ensuring the…
Jonas Verhellen
Computer-assisted design of small molecules has experienced a resurgence in academic and indus- trial interest due to the widespread use of data-driven techniques such as deep generative models. While the ability to generate molecules that fulfill required chemical properties is encouraging, the use of deep learning…