Decision-making under uncertainty is pervasive. This work sought to understand the role of working memory (WM) in loss sensitivity by utilizing two widely used tasks, the Iowa Gambling Task (IGT) and the Soochow Gambling Task (SGT), and manipulating WM with a dual-task paradigm. We hypothesized that WM load would reduce attention to both loss value and frequency in the decision-making tasks. To...

Current approach for designing of reinforced concrete members is based on the load and resistance factor. However the load and resistance parameters are random variables, the constant values have been designated for them in the designing procedure. Assuming these factors as the constants, will be led to the unsafe and uneconomical designs. Safe designing of structures requires appropriate recog...

in this paper, optimal design of hybrid solar-wind- diesel energy system with battery storage for reliable load in arsoon village in ardabil is presented. the village has 35 households that mean daily energy consumption is estimated 63.4 kwh. in this design optimization is implemented, considering loss of power supply probability (lpsp) index for reliable load providing, with minimum total cons...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation r...

This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load...

Network reconfiguration is a combinatorial optimization problem because it accounts various operational constraints in distribution systems. Plant Growth Simulation Algorithm has emerged as a useful optimization tool for handling nonlinear programming problems. In this paper, Plant Growth Simulation Algorithm has been proposed with a view to enhance speed and robustness. This method has been ap...