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This article focuses on minimax programming problems subject to addition-Łukasiewicz fuzzy relational inequalities. We first establish two necessary and sufficient conditions for a solution of the fuzzy relational inequalities being a minimal one ...

This paper aims to solve a solid transportation problem, wherein the uncertain parameters related to the problem are represented using triangular Fermatean fuzzy numbers. Fermatean fuzzy sets offer a relatively novel and wider alternative by ...

Several problems involving uncertainties can be modeled with fuzzy numbers according to the type of these uncertainties. It is natural to express the solution to such a problem with fuzzy numbers. In this study, we consider the fully fuzzy ...

This paper addresses the stabilization problem of continuous-time Markovian jump systems (MJSs) by applying an optimization controller. A new stabilizing method based on a mode separation algorithm is proposed, whose separation will be optimized ...

• A new stabilizing controller is proposed to deeply depend on the separation of modes or subsystems.
• A novel control cost function is proposed to optimize the mode separation.
• It has been proved that the stabilizing controller based ...

This paper addresses the optimal control problems with an interval-valued objective function. We consider a type of total order relationships ${\le }_{\mathit{adm}}$ between two intervals. For each total order relationship, Kuhn–Tucker sufficient conditions for the ...${}_{\mathit{}}$${}_{\mathit{}}$

Emerging IoT applications impose line barrier coverage (LBC) tasks with min–max movement objective due to requirements of energy balance, fairness, etc. In LBC, we are given a line barrier and a set of n sensors distributed on the plane. The aim ...

The drastic growth in cloud utilization makes the investigator faces a crucial issue with the virtual machine (VM) placement. Generally, VMs are allocated to physical servers for provisioning on-demand requests. This process is relatively ...

A time minimization transportation problem deals with the resource efficiency to minimize time taken by the transport systems to deliver the commodity from sources to destinations. In this paper, a two-level time minimization ...

• Transportation Problem (TP) is delivering the product from supply to demand.
• ...

Transportation Problem (TP) is correlated with product distribution between supply locations and demand locations. TP aims to minimize the total transportation cost, and TP is one of the most important challenges in optimization. To ...

We consider a control problem in a finite-dimensional setting, which consists in finding a minimizer for a standard functional defined by way of two continuous and bounded below functions and a convex function, where the control functions take ...

Many real applications use the transportation problems for finding the optimal solution for product shipment from supply to demand. The transportation problem (TP) is related to delivering some products from the supply to the demand. ...

The Steiner tree problem in graphs (SPG) is one of the most studied problems in combinatorial optimization. In the past 10 years, there have been significant advances concerning approximation and complexity of the SPG. However, the state of the ...

Software testing is considered as an essential and critical part of the software development process. To improve the efficiency of software testing, the test case prioritization (TCP) technique is usually used to preprocess the test ...

Numerous public networks, namely Instagram, YouTube, Facebook, Twitter, etc., share their own feelings and idea as videotapes, posts, and pictures. In future research, adapting to such data and mining valuable information from it will be an ...

This paper is devoted to a numerical method for the approximation of a class of free boundary problems of Bernoulli’s type, reformulated as optimal shape design problems with appropriate shape functionals. We show the existence of the shape ...

Mahmoodirad et al. (Soft Comput, 2018. 10.1007/s00500-018-3115-z) proposed an approach for solving fully intuitionistic fuzzy transportation problems (FIFTPs) (transportation problems in which each parameter is represented as a triangular ...

Particle swarm optimization (PSO) is a well-known population-based stochastic optimization algorithm intended by collective and communicative behavior of bird flocks looking for food. Being a very powerful tool for obtaining the global optimal ...

This paper investigates an information security game between two competitive firms in a market consisting of loyal customers and switchers. The switchers are classified into unaggressive switchers and aggressive switchers based on whether they ...

A transportation problem in its balanced form where all parameters and variables are of triangular intuitionistic fuzzy values is considered in this study. In the literature of the field, the existing proposed approaches have many shortcomings, e.g., ...

With the booming increase of networking-oriented technologies, the implementation of the intelligent data has become a fashionable alternative for enterprises or organizations to create values or improve their existing offerings. However, communications ...