VFSA has already been used for velocity model estimation based on borehole observations (Pei et al. 2009) by constructing a solution space with six (sets of) parameters: 1. Velocity vector, V = (V p1, V p2, V p3, …, V pn )T, where V pi denotes the P-wave velocity of layer i. 2.
Open image in new window Fig. 9 DEFES model prediction of IBM stock price (train & test data) Open image in new window Fig. 10 Searching concept with agents in a solution space by PSO.
However, there have been few (if any) attempts to determine and visualise forest profitability as a solution space optimised by calculating SEV from characteristics of the local forest environment.
The effect of these parameters on space heating demand, daylighting and thermal environment is evaluated by means of EnergyPlus and DAYSIM and presented in charts illustrating how combinations of design parameters with minimum space heating demand can be selected within a solution space defined by targets for daylighting and thermal comfort.
In this paper, we introduce a sketch-based heuristic that enables to easily eliminate most of the solutions and to keep, among a solution space represented by a tree, only one branch, or at the worst a small subtree of solutions, that has the best likeness with the original sketch.
Applications papers have extended ABC to include an option to choose among candidate models that includes different models with possibly different numbers of parameters in a solution space that is explored by simulation [ 4, 12, 21].
The reason is that this proposed AFSA-MUD algorithm can make a search within a simplified solution space constructed by the solutions of these sub-optimal detectors, rather than a random search.
The TS has an interesting ability of covering a wide solution space by promoting the search far away from the current solution and consecutively decreasing the possibility of trapping in local minima.
( upsilon ) and ( xi ) can be derived by searching within a given solution space (e.g., −5 to 5 mm/year for ( upsilon ) and −20 to 20 m for ( xi ) when high-resolution TSX images are used) to maximize the MC.
Application of CNM achieved a feasible solution space by solving inverse problems of a system containing ordinary differential equations (ODEs).
