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Kelly (1961) formulated time-cost trade-off problems by assuming linear time-cost relationships within processes. ... Linear program- ming approaches are suitable for problems with linear time- cost relationships but fail to solve those with discrete time-cost relationships. ...
Burns et al. (1996) took a hybrid approach, which used linear programming to find a lower bound of the trade- off curve and integer programming to find the exact solution Cost A Duration FIG. 1. ... Burns,’ Member, ASCE ABSTRACT: Time-cost trade-off analysis is one of the most important aspects of construction project planning and control. ...
Other benefits of this diet include: decreased feeding intolerance, shorter time to full feeds, shorter length of stay, and lower hospital and physician charges for extremely premature and VLBW infants ... The purpose of this study is to assess the benefits and cost of an exclusive human milk (EHM) diet in very low birth weight (VLBW) infants in a community level III NICU. ... Linear regression analysis was used to examine the association between time to full feeds and feed type adjusted for GA. ...doi:10.1038/jp.2015.168 pmid:26562370 fatcat:kl46tvgwjndc3bkmvhrfp3eyri
We present the results of a large computer study in which we bench-mark both efficiency and efficacy of PSO to generate high quality candidate designs for small-exact response surface scenarios commonly ... A preferred version of PSO is demonstrated and recommended. ... Assessing Efficiency -Analysis of PSO computing cost We produced a panel of graphics showing the CPU run-time in seconds for each PSOversion. ...arXiv:2206.06940v1 fatcat:so5wkoii4jdq7f5dn7n5frdks4
allocation is a hard problem consists of finding the optimal allocation of safety levels to the system architecture which must guarantee that the highest safety requirements are met while development cost ... ASILs are allocated to the components and subsystems that can cause system failure and malfunctions that lead to hazards. ... reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...doi:10.1007/s11668-018-0466-9 fatcat:3buvlles5vafnbmrennjscxjgq
Because this problem is an NP-hard problem, a hybrid greedy/evolutionary algorithm based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), namely greedy GA-PSO, is embedded in the SAA method ... Furthermore, the associated results show its e ciency in comparison to an exact solution method in solving small-sized problems. Finally, the conclusion is provided. ... As presented in Figure 14 , the computational time increases with an increasing number of problem dimensions while this increase is linear in the proposed algorithm and is nearly exponential for the exact ...doi:10.24200/sci.2017.4391 fatcat:tyg7bfrwgba6llfbbfksg5ah6y
It is found that the estimated results are very accurate and reliable due to the use of RBM forward model with an effective and robust error estimation and detailed sensitivity analysis. ... The present procedure is 460 times faster than the full FEM model used inverse procedure. ... Huynh (Singapore-MIT Alliance) for his suggestions and the discussions during the course of this work. ...doi:10.1016/j.cma.2008.03.012 fatcat:h7dqkgri5fdvjiotpynks5tiom
Most of the existing formulations for this problem have been found to be NP-complete, and thus finding the exact solutions is computationally intractable for large-scaled problems. ... In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited resource are satisfied. ... r n d GA PSO Cost difference Cost CPU time Cost CPU time 5 3 0.3 180.97 8.64 180.97 2.36 0 0.5 202.40 9.00 202.40 2.56 0 0.8 215.63 8.16 215.63 2.32 0 10 6 0.3 436.32 10.78 376.11 ...doi:10.1016/j.csi.2005.03.005 fatcat:tbdacnzjabd5roeaxhpbvahkqe
The experimental results show that the method is not only effective, but also the average time efficiency is 0.3 times that of the classical algorithm of graph edit distance. ... Software homology detection is very meaningful for software copyright protection and malicious code variants detection. ... Acknowledgment This work is partially sponsored by National Key Research and Development Program of The authors gratefully appreciate the anonymous reviewers for their valuable comments. ...dblp:journals/ijnsec/BianQ20 fatcat:sy565ajiw5eyzir6cvcygigj3e
Table 4 gives the waiting time for semi hard time windows using exact and GA approach, and GA solution for soft time windows using both case settings, i.e. when waiting is allowed at no cost (SSTW) and ... Results and Discussions Travel time, solution cost, emissions of NOx, SPM and CO2 were used to compare the approximate solutions of VRPSTW with GA and exact solutions of VRPHTW. ...doi:10.2208/journalip.24.927 fatcat:to6dima4qzb3hlfm5lxzowuzt4
A numerical example from the literature and an example of the project time-cost trade-off analysis are presented at the end of the paper in order to show the advantages of the proposed model. ... , as well as the optimal time-cost curves of the project. ... A numerical example from the literature and an example of the project time-cost trade-off analysis are presented at the end of the paper in order to show the advantages of the proposed model. ...doi:10.1016/j.advengsoft.2012.01.006 fatcat:e4ftflyoxvdgflyuupinnwykve
The covariates were age, GMFCS level, and year of first surgery. Categorical variables were compared by using the Fisher exact test (unadjusted). ... Means were adjusted for covariates by using parametric (raw data) GLM and compared between groups by using nonparametric (rank data) GLM. ... Categorical variables were compared by using the Fisher exact test. CP indicates cerebral palsy; GA, gait analysis; GMFCS, Gross Motor Function Classification System; NGA, no gait analysis. ...doi:10.1097/bpo.0b013e3181b2f8c2 pmid:19700983 fatcat:kqovwe4nfbgtrob35fnmvsnbei
Studies in Fuzziness and Soft Computing
(CFD) or Computational Electro-Magnetics (CEM) simulation costing minutes to hours of supercomputer time. ... Experimental results obtained on benchmark test functions and real-world complex design problems are presented. ... Good engineering design know-how results in lower time to market and better quality at lower cost. ...doi:10.1007/978-3-540-44511-1_15 fatcat:akme3pq77bc7fjdkra3zzlq7iy
The linear correlation is more preferable because it is much simpler to use and the horizontal axis represents the approximate (not exact) degrees of freedom. ... Genetic algorithm (GA) has been extensively used in recent decades to solve many optimization problems in various fields of science and engineering. ... In some cases the cost function is sufficiently simple and the exact df can be easily computed. ...doi:10.22067/ijnao.v7i1.48652 doaj:418a7097c0cd458c97e236c431ba195d fatcat:dazocq3yyneuzaxfo3s3mqiy7e
To analyze the cost-efficient, sustainable, and secure dispatch of applied, large-scale energy infrastructures, an extensive and non-linear optimization problem needs to be solved. ... The method enables an integrated and full-year consideration of large-scale multi-energy systems in hourly resolution, taking into account physical laws of power flows in electricity and gas transmission ... These represent dispatch costs analysis, analysis of annual dispatch of storage and other plants in hourly resolution, as well as physical flows and losses in the electricity and gas grids. ...doi:10.3390/en15082716 fatcat:zosqmg4tnvdkzplrtiz7564jdu
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