[PDF] Top 20 Multi objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm

... Although multi-objective equivalence of parameter sets is different from the probabilistic represen- tation of parameter uncertainty, the Pareto set of solutions defines the minimum uncertainty in the ... See full document

... spatially distributed approach was presented to calculate surface runoff, interflow, ground water recharge and the other water balance ...The model was applied and tested on Taleghan mountainous watershed ... See full document

... target, multi-objective optimization methodology is a good approach inasmuch as several types of objective are minimized or maximized ...combustion model of a DI (direct injection) diesel ... See full document

... to using a single constant value, the mean of all observed values, as a ...benchmark model used, and is therefore a decent simulation, but no better than a very basic ...the model calibration, ... See full document

... includes model develop- ment and refinement, identification of data types and scales of measurement required to support modeling, and estab- lishing the most effective approach for calibration based on the ... See full document

... Abstract—The calibration of a comprehensive mathematical model describing algal dynamics in batch reactors has been ...mathematical model consisted of 29 variables and 40 parameters and was described ... See full document

... this model, using a separate sub-population every processor runs an in-dependent ...this model is mainly appropriate for computer clusters or grid computing ...this model, we divide the ... See full document

... The formation of dynamic cell manufacturing is one of the hottest topics in the field of advance production operations. This text discusses the problem of the formation of dynamic cell. Through trade-off between 3 ... See full document

... Simulation Model, first developed at the ETH Zurich in Switzerland) is a distributed, deterministic, mainly physical and grid-based hydrological model (Schulla and Jasper, ... See full document

... different norm-bounded uncertainty [4]. As each norm has its particular features addressing different types of performance objectives, it may not be possible to achieve all the robustness issues and loop performance ... See full document

... on using meta-heuristic algorithms starts with an initial set of independent variables and then evolves to obtain the global minimum/maximum of the objective (fitness) ...The objective function is a ... See full document

... It is clear from the above discussion that ,in principle, the search space in the content of multiple objectives can be divided into two non overlapping regions, namely one which is optimal and one which is non optimal. ... See full document

... was multi-objective problem because there is a need to minimize both cost and time used for this ...process. Genetic Algorithm was used to solve this ...process multi-objective ... See full document

... Searching invisible information and pattern from large database is the work of data mining. High dimensionality is become a curse for data mining which generates problem while training the data. The curse of ... See full document

... Transmission Expansion Planning (TEP) is an important component of power system planning. It determines the characteristics and performance of the future electric power network and influences power system operation ... See full document

... FEM model of the crane-hook referring to one of its actual designs was ...FEM model; it was constructed as a collection of a number of various possible load conditions and the corresponding deformation ... See full document

... There are particular words used in spam e-mails and non-spam e-mails. These words have particular probability of occurring in both e-mails. The filters that we used don’t know these probabilities in advance; we must ... See full document

... Kukkonen, S. and Deb, K. (2006). Improved pruning of non-dominated solutions based on crowding distance for bi-objective optimization problems. In , 2006. Proceedings of the World Congress on Computational ... See full document

... to objective function, in the face of selecting point B as optimal point and designing of suspension system using spring and damper coefficient according to point B, we will have a vehicle with good ...one ... See full document

... Apriori Algorithm plays an important role in deriving frequent itemsets and then extracting association rules out of ...Apriori Algorithm uses Conjunctive nature of association rules, and single minimum ... See full document