Joint entity and relation extraction with set prediction networks

D Sui, X Zeng, Y Chen, K Liu… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Joint entity and relation extraction is an important task in natural language processing, which
aims to extract all relational triples mentioned in a given sentence. In essence, the relational …

An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems

X Yang, R Wang, D Zhao, F Yu, C Huang… - Expert Systems with …, 2023 - Elsevier
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …

Enhanced moth-flame optimizer with quasi-reflection and refraction learning with application to image segmentation and medical diagnosis

J **a, Z Cai, AA Heidari, Y Ye, H Chen… - Current …, 2023 - benthamdirect.com
Background: Moth-flame optimization will meet the premature and stagnation phenomenon
when encountering difficult optimization tasks. Objective: This paper presented a quasi …

Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search

S Yu, AA Heidari, C He, Z Cai, MM Althobaiti… - Solar Energy, 2022 - Elsevier
Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …

A horizontal and vertical crossover cuckoo search: Optimizing performance for the engineering problems

H Su, D Zhao, F Yu, AA Heidari, Z Xu… - Journal of …, 2023 - academic.oup.com
As science and technology advance, more engineering-type problems emerge. Technology
development has likewise led to an increase in the complexity of optimization problems, and …

Editing language model-based knowledge graph embeddings

S Cheng, N Zhang, B Tian, X Chen, Q Liu… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Recently decades have witnessed the empirical success of framing Knowledge Graph (KG)
embeddings via language models. However, language model-based KG embeddings are …

Advanced orthogonal learning and Gaussian barebone hunger games for engineering design

X Zhou, W Gui, AA Heidari, Z Cai… - Journal of …, 2022 - academic.oup.com
The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …

Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma

D Zhao, A Qi, F Yu, AA Heidari, H Chen, Y Li - … Signal Processing and …, 2023 - Elsevier
Melanoma, which results from the cancerous transformation of melanocytes, is the most
dangerous skin cancer in the medical field. Today, image processing technology has been …

Individual disturbance and neighborhood mutation search enhanced whale optimization: Performance design for engineering problems

S Qiao, H Yu, AA Heidari, AA El-Saleh… - Journal of …, 2022 - academic.oup.com
The whale optimizer is a popular metaheuristic algorithm, which has the problems of weak
global exploration, easy falling into local optimum, and low optimization accuracy when …

Horizontal and vertical crossover of sine cosine algorithm with quick moves for optimization and feature selection

H Hu, W Shan, Y Tang, AA Heidari… - Journal of …, 2022 - academic.oup.com
The sine cosine algorithm (SCA) is a metaheuristic algorithm proposed in recent years that
does not resort to nature-related metaphors but explores and exploits the search space with …