Because of their superior problem-solving ability,nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization *** academics have recently focused on meta-heuristic algor...
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Because of their superior problem-solving ability,nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization *** academics have recently focused on meta-heuristic algorithms to solve various optimization *** the state-of-the-art algorithms,Differential Evolution(DE)is one of the most successful algorithms and is frequently used to solve various industrial *** the previous 2 decades,DE has been heavily modified to improve its *** DE variations secured positions in IEEE CEC competitions,establishing their ***,to our knowledge,there has never been a comparison of performance across various CEC-winning DE versions,which could aid in determining which is the most *** this study,the performance of DE and its eight other IEEE CEC competition-winning variants are ***,the algorithms have evaluated IEEE CEC 2019 and 2020 bound-constrained functions,and the performances have been *** unconstrained problem from IEEE CEC 2011 problem suite and five other constrained mechanical engineering design problems,out of which four issues have been taken from IEEE CEC 2020 non-convex constrained optimization suite,have been solved to compare the *** analyses like Friedman's test and Wilcoxon's test are executed to verify the algorithm’s ability *** analysis exposes that none of the DE variants can solve all the problems *** of SHADE and ELSHADE-SPACMA are considerable among the methods used for comparison to solve such mechanical design problems.
There has been an exponential increase in social media content over the past few years due to the popularity of social media platforms. However, this has also resulted in the dissemination of intentionally false infor...
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The paper presents a novel deep neural network-based model for accurate epileptic seizure detection by addressing the challenges of temporal and spatial locality in Convolutional neural networks (CNN) and Recurrent ne...
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Forest fires are a real hazard to human lives, biotic components and abiotic components. Predictions says, by 2030 almost half of the world's jungle will be destroyed by forest fire. The early fire detection is on...
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This research presents an advanced approach to deepfake detection that combines frequency domain masking with adversarial training techniques to enhance the precision and resilience of the current models against adver...
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It is seen that there is a rapid increase in Internet of Things (IoT) devices, and fog computing has emerged as an efficient and viable solution to reduce latency by performing computations closer to the edge. However...
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Parkinson's disease is one type of neurological disorders that affects the systema nervosum and causes unintended or uncontrollable movement in the body parts. More than 6 million people all over the world were af...
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Automated evaluation systems have the potential to greatly simplify the assessment process in educational environments. However, traditional automated evaluation systems often fall short when assessing hand-drawn sket...
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Software fault localization is a critical task which identify the faulty statements in a program. Traditional fault localization techniques are unable to capture complex relationships within program execution data. In...
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Persuasion has been defined as a purposeful attempt to change attitudes or behaviors in many organizations that are trying to influence the beliefs, opinions, decisions, or behaviors of their audiences. In various are...
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