نتایج جستجو برای: multi objective ica
تعداد نتایج: 994387 فیلتر نتایج به سال:
optimization of the exploitation operation is one of the most important issues facing the mining engineers. since several technical and economic parameters depend on the cut-off grade, optimization of this parameter is of particular importance. the aim of this optimization is to maximize the net present value (npv). since the objective function of this problem is non-linear, three methods can b...
Independent component analysis (ICA) is increasing in popularity in the field of biomedical signal processing. It is generally used when it is required to separate measured multi-channel biomedical signals into their constituent underlying components. The use of ICA has been facilitated in part by the free availability of toolboxes that implement popular flavours of the techniques. Fundamentall...
In recent years, radar, especially frequency-modulated continuous wave (FMCW) has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, adjacent lie the same resolution cell. this paper, a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)–inde...
• Invasive coronary angiography was performed in high risk transplant candidates. Multidisciplinary decision on listing for and revascularisation. 169 patients listed underwent angiography, 73 had artery disease. Coronary disease did not affect 5-year survival post-transplant. Cardiovascular assessment is central to evaluation of liver (LT) However, there a lack consensus the diagnostic algorit...
In this work, we tried to automatically optimize the cost of the concrete segmental lining used as a support system in the case study of Mashhad Urban Railway Line 2 located in NE Iran. Two meta-heuristic optimization methods including particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) were presented. The penalty function was used for unfeasible solutions, and the seg...
In this work, a new multi-objective optimization algorithm called learner performance-based behavior is proposed. The proposed based on the process of moving graduated students from high school to college. technique produces set non-dominated solutions. To test ability and efficacy algorithm, it applied group benchmarks five real-world engineering problems. Several widely used metrics are emplo...
Software maintenance is an important step in the software lifecycle. module clustering a HHMO_CF_GDA optimization problem involving several targets that require minimization of coupling and maximization cohesion. Moreover, multi-objective involves assembling specific group modules according to cluster criteria. classifies into different clusters enhance process. A structure with low high cohesi...
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