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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Laplace crossover and random replacement strategy boosted Harris hawks optimization: Performance optimization and analysis

H Yu, S Qiao, AA Heidari, AA El-Saleh… - Journal of …, 2022 - academic.oup.com
Harris hawks optimization has been a popular swarm intelligence algorithm in recent years.
In order to improve the local exploitation ability of the algorithm and improve the problem of …

Cauchy mutation boosted Harris hawk algorithm: Optimal performance design and engineering applications

W Shan, X He, H Liu, AA Heidari… - Journal of …, 2023 - academic.oup.com
Harris hawks optimization (HHO) has been accepted as one of the well-established swarm-
based methods in the community of optimization and machine learning that primarily works …