Soft Computing - A Fusion of Foundations, Methodologies and Applications

The vulnerability analysis of networks is a central goal within the concept of graph-theoretic problems. Therefore, graph theory serves as an essential scientific tool for studying the reliability and robustness of networks. Vertex centrality has ...${}_{}^{}$

Covid-19 pandemic left scars on different industries, and now that we are experiencing the post-pandemic situation, it is essential to plan our next moves. When it comes to home healthcare devices (HHDs), they can be useful in many aspects such as ...

The strong generalized minimum label spanning tree problem (SGMLSTP) is to search the minimum label spanning tree (MLST) from an edge-labeled graph (ELG), in which each edge is associated with one or more labels. The SGMLSTP commonly exists in ...

Human Learning Optimization (HLO) is an emergent inborn binary meta-heuristic inspired by human learning mechanisms. To solve continuous problems efficiently, continuous HLO (CHLO) variants were presented. However, the research on CHLO is at its ...

The patient admission scheduling problem (PASP) has been studied for many years as one of the most important scheduling problems in the health sector. The primary goal of PASP is to assign patients to appropriate hospital beds while considering ...

In this paper, a Pareto front (PF)-based sampling algorithm, PF-Voronoi sampling method, is proposed to solve computationally intensive multi-objective problems of medium size. The Voronoi diagram is introduced to classify the region containing PF ...

The manufacturing systems’ success directly relates to their accurate, reliable and flexible schedules, including how production is planned and scheduled and which constraints are considered in generating the schedules. The study's objective ...

High freight and passenger-carrying capacity, providing a fast and safe journey, and its tourism potential, railway transportation remains preferable among transportation types. Many personnel perform different tasks such as operation, ...

The non-spherical 6R manipulators are widely used in many fields. However, the non-spherical structure often poses challenges in the inverse kinematics problem (IKP) for such robots. To address this challenge, transforming IKP into an optimization ...

In this study, three artificial intelligence models, namely group method of data handling, gene expression programming and random forest, are proposed to predict the ultimate bearing capacity of concrete filled steel tube stub columns. A total of ...

The hybrid hierarchical strategy, which is inspired by group collaboration, has been successfully used to maintain the diversity of the population and avoid premature convergence. A modified hybrid hierarchical JAYA algorithm (HHJAYA) is proposed ...

In the current research scenario, sincere effort has been taken worldwide to explore the use of renewable energy sources in electrical power system for the economic benefits and environmental consciousness. In this work, a relatively published new ...

Identifying a target accurately in the presence of noise in synthetic aperture radar (SAR) images poses significant challenges considering various parameters, such as viewing angle and configuration changes. In this paper, SAR images are ...

Soft computing methods were used in this research to design and model the compressive strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based response surface methodology (RSM) was used to develop 29 HPC mixes with a ...

Dentistry processes include prevention, examination of symptoms, and treatment of oral diseases. Since there are various dental services, exploring the combination of services can help both dentists and patients for planning accurately to follow ...

Aspect-based sentiment analysis aims to recognize the sentiment polarities for opinion words with the aid of some machine learning or deep learning-based sentiment classification models. Dependency parsing has been considered as an efficient tool ...

Diabetic macular edema (DME) is a common cause of vision-threatening diseases. Multicolor image (MCI) enables the diagnosis of DME by providing multiple spectral images of fundus structures. However, the accuracy of existing machine learning ...

The understanding of the external characteristics of objects that need to be grasped is crucial for enhancing the dexterity of a robotic hand. Utilizing ontology-based knowledge representation (KR) approaches in the field of grasping presents ...

In this article, we develop and analyze an efficient numerical technique to solve the nonlinear temporal fractional Burgers’ equation (TFBE). The temporal fractional derivative is considered in the terms of Caputo and approximated by using the $L2-{\mathrm{...}}_{}$${}^{\mathrm{}}{}^{\mathrm{}}$$$$$

Wireless sensor location is a challenging task issue in the Internet of Things (IoT). Distance vector-hop (DV-hop) algorithm provides a range-free positioning scheme, but its position prediction method based on least square method brings a large ...

Multiple unmanned aerial vehicle (UAV) path planning is the benchmark problem of multiple UAV application, which belongs to the non-deterministic polynomial problem. Its objective is to require multiple UAV to fly safely to the goal position ...

Prediction of urban household water demand (UHWD) is significant to water resources’ management, since it helps alleviate a city government’s water scarcity burden. Uncertain time series analysis is a set of statistical techniques that use ...

Although there are many researches on the similarity measure for intuitionistic fuzzy sets, some of them have some defects. To overcome these shortcomings, based on the Euclidean distance between intuitionistic fuzzy set and three special ...

A deep learning (DL) architecture is proposed in this study for the multi-class classification of COVID-19, lung opacity, lung cancer, tuberculosis (TB), and pneumonia. There are two distinct models, namely Classification_1 and Classification_2 in ...

In this article, we propose an approach to create a high-quality quantum tent map by utilizing the generalized quantum dot system. Our objective is to determine if its chaos surpasses that of the traditional classic tent. To achieve this, we first ...$\mathrm{}$$\mathrm{}$${\mathrm{}}^{\mathrm{}}$$\mathrm{}$

The heuristic tuning method of fractional-order proportional–integral–derivative (FOPID) control systems lacks robustness, and its performance often changes with specific controlled plants. To solve this problem, this paper proposes a new modified ...

Although conventional control systems are simple and widely used, they may not be effective for complex and uncertain systems. This study proposes a Hermite broad-learning recurrent neural network (HBRNN) with a wide network structure and an ...

Salt and pepper noise is the most dangerous noise which reduces the accuracy of brain diagnosis, and it damages the brain medical MRI images severely, that leads the neurologists to fix incorrect treatments or surgery. The pitfalls raised in the ...

The behavior of reinforced concrete (RC) deep beams is complex and difficult to predict due to factors such as compressive and shear stress and beam geometry. To address this challenge, researchers have proposed various machine learning models ...${}^{\mathrm{}}$${}^{\mathrm{}}$

Digitalization occupies entire world irrespective of the fields including the construction field study and it plays a major role to identify the better structure using the various design software that are available in the market. The ...