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Reliability Redundancy Optimization Algorithm based on Eagle Strategy and PSO
Yubao Liu,Guihe Qin 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12
A new algorithm combined Eagle Strategy with PSO is proposed. The new algorithm performs by two phases: First Eagle Strategy is used to do global search; Second PSO algorithm is used to do fast local search around a promising solution. The balance of global search and local search is considered simultaneously. It is not only help to jump out of local optimum but also accelerate local convergence. Experimental results on three benchmark problems illustrate that the presented approach is effective, efficient and accurate for solving reliability redundancy optimization problems.
A DE Algorithm Combined with Lévy Flight for Reliability Redundancy Allocation Problems
Yubao Liu,Guihe Qin 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5
In this paper, a differential evolution (DE) algorithm combined with Lévy flight is proposed to solve the reliability redundancy allocation problems. The Lévy flight is incorporated to enhance the ability of global search of differential evolution algorithm. DE is used for local search mainly. The method considers the trade-off of the diversification and the intensification simultaneously. Experimental results for three benchmark problems demonstrate that the proposed algorithm is more effective for solving the reliability redundancy allocation problems.
Schedule Optimization for Ttethernet-based Time-triggered Automotive Systems
Zhao Rui,Qin Guihe,Yan Jie,Qin Jun 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.6
TTEthernet is a new high availability network protocol for the automotive domain, providing support for the transmissions of time-critical periodic frames in a time-triggered (TT) traffic and event-triggered frames in a rate-constrained (RC) or best-effort (BE) traffic. The design of a system scheduling with communication over the TTEthernet is not an easy task because of protocol and timing constraints as well as the demand for high quality-of-service and extensibility. In this paper, we study the co-optimization problem of the tasks and signals scheduling for TTEthernet-based time-triggered automotive systems. We propose a Mixed-Integer Linear Programming (MILP) framework for optimizing the signal packing, signal scheduling and task scheduling, subject to all protocol, processor and timing constraints with respect to latency- or extensibility- related metrics. Extensive experiments are conducted to evaluate the effectiveness and efficiency of the proposed approach in a variety of scenarios.