Abstract Aiming at the problem of user’s task offloading in mobile edge computing and potential leakage location privacy during process, a privacy-preserving scheme based on whale optimization algorithm is proposed. Using differential technology to obfuscate user's information, user can make decisions according obfuscated distance. Considering delay, energy consumption, their weighted sum, mode...

During recent decades, evolutionary algorithms have been widely studied in optimization problems. The multi-objective whale algorithm based on multi-leader guiding is proposed this paper, which attempts to offer a proper framework apply and other swarm intelligence solving adopts several improvements enhance performance. First, search agents are classified into leadership set ordinary by grid m...

In many fields, complicated issues can now be solved with the help of Artificial Intelligence (AI) and Machine Learning (ML). One more modern Metaheuristic (MH) algorithms used to tackle numerous in various fields is Beluga Whale Optimization (BWO) method. However, BWO has a lack diversity, which could lead being trapped local optimaand premature convergence. This study presents two stages for ...

<span lang="EN-US">Renewable energy generation is increasingly attractive since it <br /> non-polluting and viable. Recently, the technical economic performance of power system networks has been enhanced by integrating renewable sources (RES). This work focuses on size solar wind production replacing thermal to decrease cost losses a big electrical system. The Weibull Lognormal prob...

Many researches have focused on the optimal design of tuned mass damper (TMD) system without the effect of soil–structure interaction (SSI), so that ignoring the effect of SSI may lead to an undesirable and unrealistic design of TMD. Furthermore, many optimization criteria have been proposed for the optinal design of the TMD system. Hence, the main aim of this study is to compare different opti...