[HTML][HTML] Revolutionizing sustainable supply chain management: A review of metaheuristics
This paper reviews the application of metaheuristics for optimized sustainable supply chain
management (SSCM). This paper explores the potential of metaheuristics to improve the …
management (SSCM). This paper explores the potential of metaheuristics to improve the …
[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
An improved Harris Hawks optimization algorithm with multi-strategy for community detection in social network
FS Gharehchopogh - Journal of Bionic Engineering, 2023 - Springer
The purpose of community detection in complex networks is to identify the structural location
of nodes. Complex network methods are usually graphical, with graph nodes representing …
of nodes. Complex network methods are usually graphical, with graph nodes representing …
An improved binary quantum-based avian navigation optimizer algorithm to select effective feature subset from medical data: A COVID-19 case study
Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …
irrelevant features particularly from medical data, and it can be effectively addressed by …
EWOA-OPF: Effective whale optimization algorithm to solve optimal power flow problem
MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Electronics, 2021 - mdpi.com
The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …
system by considering the desired objective functions subject to system constraints …
Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images
Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
Improved reptile search algorithm by salp swarm algorithm for medical image segmentation
L Abualigah, M Habash, ES Hanandeh… - Journal of bionic …, 2023 - Springer
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile
Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray …
Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray …
Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Mathematics, 2022 - mdpi.com
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …