Table 2 A summary of urban transit network schedule optimization References Constraints Objective(s) Solution method Network size (a) Min travel time Chang et al. [53] Total trip distance Schedule Passenger demand Capacity Fleet size Min.
The Lagrangian optimization will pick the optimal reference frame.
Statistical TOtal Correlation SpectroscopY (STOCSY) has been used to recover structural metabolic information, and its extension, SubseT Optimization by Reference Matching (STORM), utilizes an iterative selection of homogeneous subsets of spectra to improve structural elucidation by reducing variation across inhomogeneous spectral data sets.
The suitability of GA optimization as reference benchmark for series architecture is demonstrated through comparison with Dynamic Programming technique.
This white paper discusses the role of justification, evidence-based referral guidelines, optimization, diagnostic reference levels, clinical audits and quality assurance programs.
The simulation conditions are three 720P-sized video sequences with a baseline profile, no R-D optimization, one reference frame, IPPP sequences, 30 frames/s, and 16 frames per GOP.
The goal of the current work was to design a reliable numerical model of the stacked package and afterwards perform numerical multi-objective optimization in reference to a number of variables, which influence the stacked package reliability.
To solve this kind of non-convex optimization problem, reference [8] adopted a fixed value of base station transmission power and expanded the range of indicator variable c k , n , m from discrete value of 0 or 1 to continuous real numbers that range in [0, 1], and then convex optimization theory was used to solve the problem [9].
The simulation conditions are CIF-sized test sequences with a baseline profile, no R-D optimization, one reference frame, a full-search algorithm as well as an Enhanced Predictive Zonal Search EPZSS) algorithm [24] for ME, IPPP sequences, 30 frames/s, and 16 frames per GOP.
Simulation results indicate that the proposed strategy provides a level of accuracy that is comparable to that of using mono-objective optimization and reference face recognition systems, yet requires a fraction of the computational cost (between 16% and 20% of a mono-objective strategy depending on the data base and scenario).
