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Toplam kayıt 12, listelenen: 1-10
Maximizing Coverage and Maintaining Connectivity in WSN and Decentralized Iot: An Efficient Metaheuristic-Based Method for Environment-Aware Node Deployment
(Springer, 2022)
The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient
method to solve this problem without the need for predefined circumstances about the environments ...
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
(Hindawi Limited., 2022)
The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and ...
A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
(Elsevier, 2023)
Management of traffic emergencies has become very popular in recent years. However,
timely response to emergencies and recovering from an emergency is an important prob-
lem in itself. The strategies in the current ...
PSCSO: Enhanced Sand Cat Swarm Optimization Inspired by the Political System to Solve Complex Problems
(Elsevier, 2023)
The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced metaheuristic with balanced
behavior in the exploration and exploitation phases. However, it is not fast in convergence and may not be
successful ...
Parallel Molecular Alteration Between Alzheimer’s Disease and Major Depressive Disorder in the Human Brain Dorsolateral Prefrontal Cortex: An İnsight From Gene Expression and Methylation Profile Analyses
(The Genetics Society of Japan, 2023)
Alzheimer’s disease (AD) and major depressive disorder (MDD) are comorbid
neuropsychiatric disorders that are among the leading causes of long-term disability worldwide. Recent research has indicated the existence of ...
Chaotic Sand Cat Swarm Optimization
(MDPI, 2023)
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm
combines the features of the recently ...
A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
(Springer Lınk, 2023)
The number of detected bugs by software test data determines the efficacy of the test data. One of the most important topics
in software engineering is software mutation testing, which is used to evaluate the efficiency ...
A Bioinspired Discrete Heuristic Algorithm to Generate the Eeffective Structural Model of a Program Source Code
(Elsevier, 2023)
When the source code of a software is the only product available, program understanding has a substantial
influence on software maintenance costs. The main goal in code comprehension is to extract information
that is ...
Existence of a Unique Solution and the Hyers–Ulam-H-Fox Stability of the Conformable Fractional Differential Equation by Matrix-Valued Fuzzy Controllers
(Wıley-Hındawıadam House, 2022)
In this paper, we consider a conformable fractional diferential equation with a constant coefcient and obtain an approximation
for this equation using the Radu–Mihet method, which is derived from the alternative fxed- ...
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
(MDPI, 2024)
The process of software development is incomplete without software testing. Software
testing expenses account for almost half of all development expenses. The automation of the testing
process is seen to be a technique ...