This paper presents a hybrid krill herd (CSKH) approach to solve structural optimization problems. CSKH improved the Krill herd algorithm (KH) by combining KU/KA operator originated from cuckoo search algorithm (CS) with KH. In CSKH, a greedy selection scheme is used and often overtakes the original KH and CS. In addition, in order to further enhance the assessment of CSKH, a fraction of the worst krill is thrown away and substituted with newly randomly generated ones by KA operator at the end of each generation. The CSKH is applied to five real engineering problems to verify its performance. The experimental results have proven that CSKH algorithm is well capable of solving constrained engineering design problems more efficiently and effectively than the basic CS and KH algorithm.
相似文献Rapid proliferation in state-of-the art technologies has revolutionized the medical market for providing urgent, effective and economical health facilities to aging society. In this context media (i.e., video) transmission is considered as a quite significant step during first hour of the emergency for presenting a big and better picture of the event. However, the energy hungry media transmission process and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in medical internet of things (MIoT) or internet of medical things (IoMT). So, promoting Green (i.e., energy-efficient) transmission during voluminous and variable bit rate (VBR) video in MIoT is a challenging and crucial problem for researchers and engineers. Therefore, the need arose to conduct research on Green media transmission techniques to cater the need of upcoming wearable healthcare devices. Thus, this research contributes in two distinct ways; first, a novel and sustainable Green Media Transmission Algorithm (GMTA) is proposed, second, a mathematical model and architecture of Green MIoT are designed by considering a 8-min medical media stream named, ‘Navigation to the Uterine Horn, transection of the horn and re-anastomosis’ to minimize transmission energy consumption in media-aware MIoT, and to develop feasible media transmission schedule for sensitive and urgent health information from physian to patients and vice vers through extremely power hungry natured wearable devices. The experimental results demonstrate that proposed GMTA saves energy up to 41%, to serve the community.
相似文献Recent technological advances in almost all critical systems’ domains have led to an explosive growth of multimedia big data. Those advances encompass the ever increasing innovative digital and remote mobile devices being operated on the users’ end. Due to the openness of critical system, the service providers in such networks are facing security challenges to authenticate those mobile devices on the field, and delivering services. In this scenario, the Multi-server authentication (MSA) framework seems to be a promising solution that enables its subscribers to avail services from different servers without getting registered to each server individually. In last few years many MSA protocols depending on RC-Offline authentication during mutual authentication, have been presented. However, to date, there is no efficient MSA scheme to our knowledge that is free of all three weaknesses, simultaneously. That is, 1) free from storage of server-based parameters (public keys or other values) in smart card by registration authority, 2) free from the assumption of publishing of server-based public keys publicly and 3) free from a single secret sharing with all servers so that it could avoid server masquerading (insider) attack. Considering these limitations, we present a multi-server authentication protocol that withstands above drawbacks using lightweight cryptographic operations. The rationale of the proposed work was to present an efficient RC-Offline MSA scheme. Our scheme is also backed by formal security analysis based on GNY logic and automated security verification using ProVerif tool.
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