Flood susceptibility mapping using meta-heuristic algorithms
Geomatics, Natural Hazards & Risk, 2022 Flood is a common global natural hazard, and detailed flood susceptibility maps for specific watersheds are important for flood management measures. We compute the flood susceptibility map for the Kaiser watershed in Iran using machine learning models ...
Alireza Arabameri +7 more
doaj +3 more sources
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Neural Process Lett, 2022 The learning process and hyper-parameter optimization of artificial neural networks (ANNs) and deep learning (DL) architectures is considered one of the most challenging machine learning problems.
Kaveh M, Mesgari MS.
europepmc +2 more sources
Hybrid Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy System: A Review of the State-of-the-Art. [PDF]
Arch Comput Methods Eng, 2022 The hybrid renewable energy system (HRES) has been presented as the most studied solution for improving the sustainability of energy production infrastructures in isolated areas.
Bouaouda A, Sayouti Y.
europepmc +2 more sources
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover. [PDF]
Appl Intell (Dordr), 2023 Employee turnover is one of the most important issues in human resource management, which is a combination of soft and hard skills. This makes it difficult for managers to make decisions.
Pourkhodabakhsh N +2 more
europepmc +2 more sources
A systematic review of meta-heuristic algorithms in IoT based application
Array, 2022 Internet-of-Things (IoT) has gained quick popularity with the evolution of technologies such as big data analytics, block-chain, artificial intelligence, machine learning, and deep learning.
Vivek Sharma, Ashish Kumar Tripathi
doaj +2 more sources
Alexandria Engineering Journal, 2023 Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based algorithms and swarm intelligence are categorized under meta-heuristic ...
Othman Waleed Khalid +2 more
doaj +2 more sources
A comprehensive review on meta-heuristic algorithms and their classification with novel approach
Journal of Applied Research on Industrial Engineering, 2021 Conventional and classical optimization methods are not efficient enough to deal with complicated, NP-hard, high-dimensional, non-linear, and hybrid problems.
Hojatollah Rajabi Moshtaghi +2 more
doaj +2 more sources
Parking recommendation with meta-heuristic algorithms
Theoretical and Natural ScienceDue to the exponential growth of cars in urban areas, parking problems have become a significant concern. Addressing this issue requires efficient methods for locating available parking spaces, enhancing the overall experience for drivers. This paper introduces a parking lot recommendation model leveraging meta-heuristic algorithms to generate a list ...
Siyuan Wu, Tingting Yang
openaire +2 more sources
Aerospace, 2021 This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor.
Hasan Çınar, Ilyas Kandemir
doaj +2 more sources
Review of conventional metaheuristic techniques for resource-constrained project scheduling problem [PDF]
Journal of Project Management, 2022 This paper is concerned with an overview of the Resource-Constrained Project Scheduling Problem (RCPSP) and the conventional meta-heuristic solution techniques that have attracted the attention of many researchers in the field.
Amir Golab +3 more
doaj +1 more source