In this Digital era, 84% of people in the world are using the internet and creating login credentials for banks, social media accounts, and so on... most people are storing their login credentials in auto save mode or...
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The Salp Swarm Algorithm(SSA)is a population-based Meta-heuristic Algorithm(MA)that simulates the behavior of a group of salps foraging in the *** the basic SSA has stable exploration capability and convergence speed,...
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The Salp Swarm Algorithm(SSA)is a population-based Meta-heuristic Algorithm(MA)that simulates the behavior of a group of salps foraging in the *** the basic SSA has stable exploration capability and convergence speed,it still can fall into local optimum when solving complex optimization problems,which may be due to low utilization of population information and unbalanced exploration-to-exploitation ***,this study proposes a Double Mutation Salp Swarm Algorithm(DMSSA).In this study,a Cuckoo Mutation Strategy(CMS)and an Adaptive DE Mutation Strategy(ADMS)are introduced into the structure of the original *** former mutation strategy is summarized as three basic operations:judgment,shuffling,and *** purpose is to fully consider the information among search agents and use the differences between different search agents to participate in the update of positions,making the optimization process both diverse in exploration and minor in *** latter strategy employs three basic operations:selection,mutation,and *** the follower part,some individuals do not blindly adopt the original follow ***,the global optimal position and differences are considered,and the variation factor is adjusted adaptively,allowing the new algorithm to balance exploration,exploitation,and convergence *** evaluate the performance of DMSSA,comparisons are made with numerous algorithms on 30 IEEE CEC2014 benchmark *** statistical results confirm the better performance and significant difference of DMSSA in solving benchmark function ***,the applicability and scalability of DMSSA to optimization problems with constraints are further confirmed in three experiments on classical engineering design optimization *** source code of the proposed algorithm will be available at:https://***/ncjsq/Double-Mutational-Salp-Swarm-Algorithm.
The ability to scene understanding in adverse visual conditions, e.g., nighttime, has sparked active research for color-thermal semantic segmentation. However, it is essentially hampered by two critical problems: 1) t...
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In recent years, the education system has undergone a significant transformation due to technological advancements. With the emergence of online learning platforms, students can now access an enormous amount of course...
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Wireless acoustic sensor networks (WASNs), or the so-called internet of audio things (IoAuTs), have attracted increasing attention in the IoT community. As the geometry structure of WASNs is required in audio/speech p...
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This review article compares many object detection techniques that are routinely employed in autonomous cars. The study's goal is to give insights into current trends and advancements regarding the industry as wel...
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Point clouds stand out among other 3D data representations for their effectiveness and adaptability. Thus, point cloud analysis has been a popular research topic in recent years. However, due to complex features, nume...
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Conventional recommendation systems mostly recommend based on users’ global stable interest, while SR focuses on learning local active interest from the current session. Relevant research points out that integrating ...
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Medical Visual Question Answering (Med-VQA) aims to address clinical questions using medical radiological images. However, existing studies have mainly focused on in-putting visual and textual features into attention-...
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Most of the typical reinforcement learning algorithms help wireless devices choose the security policy by exploring all the possible state-action pairs including the risky policies that cause a severe collision or net...
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