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Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms
The influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on...
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Optimum structural design of the lower control arm using meta-heuristic algorithms
In today's world, meta-heuristic methods are widely used to solve complex optimization problems in many different fields. Their most important...
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Power Allocation with Meta-heuristic Algorithms for Indoor MIMO-NOMA Based VLC Systems
Visible light communication (VLC) is a form of short-range wireless optical communication that uses light in the visible band for both communication...
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Influence of meta-heuristic algorithms on the optimization of quadrotor altitude PID controller
Controlling a quadrotor UAV is a growing interest in the field of control engineering due to the increasing use of these flying machines in the field...
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An Extensive Review on QoS Enhancement in MANET Using Meta-Heuristic Algorithms
Mobile ad hoc network (MANET) is a group of portable devices which it is also defined as a multi-hop and self-organized network. These networks are...
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Optimal design of wireless power transfer coils for biomedical implants using machine learning and meta-heuristic algorithms
The classical methods for optimizing wireless power transfer (WPT) systems using mathematical equations or finite element methods can be...
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Chaotic Maps and Meta-heuristic Algorithms
In meta-heuristic algorithms, two important stages of exploration and exploitation are considered in order to converge towards optimal answers. In...
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Predicting CBR values using gaussian process regression and meta-heuristic algorithms in geotechnical engineering
The California Bearing Ratio (CBR) test is a vital tool in geotechnical engineering and is useful in controlled laboratory settings and dynamic field...
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Performance evaluation of meta-heuristic algorithms for designing multi-objective multi-product multi-echelon supply chain network
The purpose of this paper is to develop and test three meta-heuristic algorithms to solve large size multi-objective supply chain network design...
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Optimizing energy efficiency: predicting heating load with a machine learning approach and meta-heuristic algorithms
This study responds to the urgent demand for accurate energy consumption forecasts and the strategic assessment of retrofit methodologies, aiming to...
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A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference
Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also...
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Employing Adaptive Neural Fuzzy Inference System Model Via Meta-heuristic Algorithms for Predicting Maximum Dry Density
AbstractThis article presents a novel approach to estimating the maximum dry density (MDD) of soil stabilization mixtures utilizing the Adaptive...
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On the assessment of meta-heuristic algorithms for automatic voltage regulator system controller design: a standardization process
Meta-heuristic algorithms (MHAs) have gained popularity in recent years due to their successful results in solving a wide variety of scientific...
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Estimating the ultra-high-performance concrete compressive strength with a machine learning model via meta-heuristic algorithms
In recent years, many experimental articles have been conducted to study ultra-high-performance concrete (UHPC). Thus, the relationship between its...
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Optimum Feature Selection Using Meta-heuristic Algorithms
In the evolving landscape of machine learning, where image datasets pose unique challenges due to their high dimensionality, this research explores...
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Predicting the Fracture Characteristics of Concrete Using Ensemble and Meta-heuristic Algorithms
Fracture properties are crucial for the design and application of concrete materials. The fracture energy which represents the fracture performance...
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Comparison of Four Chaotic Meta-Heuristic Algorithms for Optimal Design of Large-Scale Truss Structures
The combination of meta-heuristic algorithms with chaos map creates a significant improvement in the optimal design of truss structures. The main...
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Optimal design of FPSO topside module for in-place, lift and weighing conditions utilizing meta-heuristic optimization algorithms
The repetitive modelling required for traditional structural design work is a laborious and time-consuming task. Yet, the cost significantly...
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A Comprehensive Survey of Meta-heuristic Algorithms
In the last years, the application of standard optimization algorithms, presented results typically inefficient in the solution of some problems,...
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Multi-objective fog node placement strategy based on heuristic algorithms for smart factories
With the rapid development of industrial IoT technology, a growing number of intelligent devices are being deployed in smart factories to digitally...
