Lindenmayer systems (L-systems) are a grammar system that consists of string rewriting rules. The rules replace every symbol in parallel with successor to produce the next string, and this procedure iterates. In stochastic context-free L-system (S0L-system), may have one or more rule, each an associated probability selection. Properly constructed been found be useful for modeling simulating som...

the aim of this paper is to evaluate suppliers using a multi objective programming problem and multiple criteria data envelope analysis. toward accomplishing this goal, first a general algorithm is introduced to obtain a continuous set of efficient solutions of the given multi objective programming problem. then, since each member of such set can be viewed as a combination of inputs such as raw...

The control of variable-speed wind turbines that generate electricity from the kinetic energy involves subsystems need to be controlled simultaneously, namely, blade pitch angle controllers and generator torque controllers. presented study solves problem with multiple inputs outputs (MIMO), using method reinforcement learning–based Trust Region Policy Optimization, through which parameters both...

A significant and growing share of US agricultural output is produced under a production or marketing contract. An important controversy regarding agricultural production contracts is the control of non-labor inputs. Over time, contracts have tended to place more inputs under the buyer’s control and fewer under the farmer’s. This analysis examines the welfare effects of this trend. In the frame...

the ahp/dea methodology is an integration of analytical hierarchical process (ahp) and data envelopment analysis. this method uses the capabilities of both ahp and dea. however, it has some problems: it illogically compares two decision-making units in a data envelopment analysis (dea) model, it is not compatible with dea ranking in the case of multiple inputs/multiple outputs, and it leads to ...

Data Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of homogenous Decision Making Units (DMUs) with multiple inputs and multiple outputs. These factors may be evaluated in fuzzy or stochastic environment. Hence, the classic structures of DEA model may be changed where in two fold fuzzy stochastic environment. For instances, linearity, feasibility a...