An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
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 …
has received much attention in various optimization fields due to its simple structure and …
Joint entity and relation extraction with set prediction networks
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 …
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 …
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 …
optimization algorithm that mimics a common phenomenon of animals searching for food …
Editing language model-based knowledge graph embeddings
Recently decades have witnessed the empirical success of framing Knowledge Graph (KG)
embeddings via language models. However, language model-based KG embeddings are …
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 …
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 …
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 …
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 …
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 …
based methods in the community of optimization and machine learning that primarily works …