Results 91 to 100 of about 24,415 (308)

Parameter settings of all metaheuristic algorithms for optimizing RVFL.

, 2021
Parameter settings of all metaheuristic algorithms for optimizing RVFL.
Sherif I. Barakat (11731509), Reham R. Mostafa (10954040), Emad T. Elkabbash (11731506)   +2 more
core   +1 more source

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

Biclustering Algorithms Based on Metaheuristics: A Review

, 2022
32 pages, 6 figures, 2 tables, chapter ...
José-García, Adán, Jacques, Julie, Sobanski, Vincent, Dhaenens, Clarisse   +3 more
openaire   +3 more sources

A review of the Tabu Search Literature on Traveling Salesman Problems [PDF]

The Traveling Salesman Problem (TSP) is one of the most widely studied problems inrncombinatorial optimization. It has long been known to be NP-hard and hence research onrndeveloping algorithms for the TSP has focused on approximate methods in addition ...
Sumanta Basu, Ghosh, Diptesh
core  

Robust Position Control of an Electro‐Hydraulic Actuator via Metaheuristic Optimization of a Fractional‐Order PID Controller

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this study, a robust position control strategy is presented for a two‐stage electro‐hydraulic actuator system using a fractional‐order proportional–integral–derivative (FOPID) controller tuned by Kirchhoff's law algorithm (KLA). Electro‐hydraulic systems exhibit strong nonlinearities, parameter uncertainties, and external disturbances ...
Ridvan Firat Cinar, Davut Izci, Serdar Ekinci, Mohammad Salman, Mohammad Al‐Rabayah, Ali Akdagli, Ali Yildiz, Filiz Karaomerlioglu, Gökhan Yüksek   +8 more
wiley   +1 more source

Preserving Privacy in Association Rule Mining Using Metaheuristic-Based Algorithms: A Systematic Literature Review

IEEE Access
The current state of Association Rule Mining (ARM) technology is heading towards a critical yet profitable direction. The ARM process uncovers numerous association rules, determining correlations between itemsets, forming building blocks that have led to
Shahad S. Aljehani, Youseef A. Alotaibi
doaj   +1 more source

Metaheuristic algorithms for the quadratic assignment problem

2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS), 2013
This paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, which are destruction and construction procedures. The algorithm starts from an initial solution and then iterates through a main loop, where first a partial candidate solution is obtained by removing a ...
Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Ikbal Ece Dizbay   +3 more
openaire   +3 more sources

Execution time of RVFL+ JS against other metaheuristic algorithms.

, 2021
Execution time of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509), Reham R. Mostafa (10954040), Emad T. Elkabbash (11731506)   +2 more
core   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Sustainable Phosphorus Fertilizer Supply Chain Management to Improve Crop Yield and P Use Efficiency Using an Ensemble Heuristic–Metaheuristic Optimization Algorithm [PDF]

, 2023
Mohammad Shokouhifar, Mahnaz Sohrabi, Motahareh Rabbani, Seyyed Mohammad Hadji Molana, Frank Werner   +4 more
openalex   +1 more source