17 papers · ranked by Valyu relevance
Ran Zhang, Xiaohan Li, Caihua Wan, Raik Hoffmann + 14 more
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance efficiency and solution quality at scale. We present a probabilistic framework that embeds true random number generators…
Loric Stuby, Christophe A. Fehlmann, Salita Bellotti, Dominique Jaccard + 4 more
This was a web-based, randomized open-label study evaluating the performance of two MCI prehospital triage systems through a simulated model. The study adheres to the CONsolidated Standards Of Reporting Trials (CONSORT) statement.23 The CONSORT checklist is available as Supplemental Material (Table S1; available online…
Alenrex Maity, Yen-Lin Chen, Wassim Alexan, Por Lip Yee + 1 more
This study proposes a fast image encryption method for color images, integrating an autoencoder to compress the image and a 6D hyperchaotic system to ensure enhanced security. Initially, a hash value is obtained from the original color image. The hash value, which serves as the secret key of the proposed encryption…
Brianna M. Liberio, Gregory M. Sokol, Hannah Rakow, Kelly Mosesso + 4 more
Despite aggressive parenteral and enteral nutrition, suboptimal extrauterine growth remains a significant concern in infants who are preterm.1 Strong associations have been identified between in-hospital growth and impaired short- and long-term neurodevelopment.2-4 It is imperative that other nutritional strategies…
Mengqi Zhang, Guangqiang Teng, Xiaoyu Lei, Boris Ryabko
Lei proposed an algorithm Algorithm $A_{3}$ in 2023 to generate an exact discrete uniform distribution from an unknown biased Bernoulli source. The present paper does not claim a new extraction algorithm. Its contributions are analytical: first, we provide a Fourier-analytic proof of the uniformity mechanism based on…
Zeynep Haber, Harun Uguz, Huseyin Hakli, AbdElRahman Ahmed ElSaid
The Artificial Bee Colony (ABC) algorithm is a simple and effective population-based optimization method, but it may exhibit unstable convergence and weak exploitation capability in discrete and highly constrained problems. This study proposes an improved ABC framework that integrates a probabilistic Uniform crossover…
Oguz Emrah Turgut, Hadi Genceli, Mustafa Asker, Ehsan Baniasadi + 1 more
This research proposes a novel hybrid metaheuristic optimization framework that combines the Aquila Optimization algorithm with the Sine-Cosine Optimizer to find equilibrium points of reacting components under specified operational reaction conditions. The method aims to address the exploitative limitations of the…
Mingbin Tang, Yejun Zheng, Lianbao Li, Li Cao + 2 more
Complex engineering optimization problems often exhibit high-dimensional, multi-constraint, and nonlinear characteristics. Traditional deterministic optimization methods rely on gradient information and have limited optimization ranges, making it difficult to meet the requirements of efficient and accurate solutions.…
Zihao Cheng, Li Cao, Yang Qiu, Yinggao Yue + 1 more
Aiming at the problems of uneven population initialization distribution, easy trapping in local optima, unbalanced exploration and exploitation capabilities, insufficient optimization accuracy and convergence speed of the original Greater Cane Rat Algorithm (GCRA), this paper proposes a Chaos-Integrated…
Zahraa Elsayed Mohamed, Walid Dabour
This study proposes a hybrid variant of Elephant Herding Optimization that combines an adaptive clan-updating schedule, Lévy-flight exploration from Cuckoo Search, and elite opposition-based sampling. The design targets three known limitations-premature convergence, imbalance between exploration and exploitation, and…
Achmad Pratama Rifai, Wangi Pandan Sari
The multi-row layout problem (MRLP) involves arranging machines of varying sizes across multiple rows to minimize material handling costs. It is a significant design problem that frequently arises in practical situations. Some industrial settings require safety regulations to ensure a minimum distance between machines.…
Zhijun Teng, Liangcen Gu, Mingyang Sun, Mugang He
Inspired by the intricate group dynamics of wild gorilla populations, the Artificial Gorilla Troops Optimizer (GTO) represents a novel approach in swarm intelligence. Despite its effectiveness in performing global exploration, GTO is prone to early convergence and can easily become stuck in local optima, especially…
Ken Kurisu, Yosuke Uchitomi, Naomi Sakurai, Maiko Fujimori + 7 more
Background The effectiveness of peer support for breast cancer survivors has varied substantially, and no previous study has examined patient-supporter matching. This study protocol describes a decentralized, multicenter, open-label pilot randomized controlled trial designed to explore the effectiveness of online peer…
Li Lan, Zhang Qi
This paper presents an Enhanced parrot Optimizer (EPO), a novel metaheuristic algorithm that synergistically integrates multiple advanced strategies to address the critical limitations of the original parrot Optimizer (PO)-namely, poor initial population diversity, susceptibility to premature convergence, slow…
Deepak Kumar Verma, Mamta Rani, Roli Dikshit, Himanshu Gupta + 1 more
This research delves into the concerns raised by numerous researchers regarding the security of Baptista’s chaotic cryptosystem. The paper scrutinizes two fundamental issues in the Baptista algorithm: the imperfect distribution of chaotic data and the constraints of a single attractor. To address these issues, we…
Mohamed Gabr, Eyad Mamdouh, Dina El-Damak, Minar El-Aasser + 2 more
This study presents a sophisticated encryption methodology specifically designed for the secure transfer of medical images across cloud services. The initial phase of the algorithm involves the consolidation of multiple images to form a single augmented image, which is then subjected to the first layer of encryption.…
Jie Zhang, Wenjie Zhou, Mingxu Wang, Yiting Lin + 1 more
Most existing low-dimensional chaotic maps suffer from a limited dynamical complexity and dynamic degradation, which restrict their effectiveness in image encryption. To address this issue, a novel three-dimensional chaotic map (3D-TCM) was constructed to improve dynamical complexity and stability, and its superiority…