Development of A New Algorithm For Optimal Solution Of Transportation Problems

This paper leads to an Algorithm/technique to solve optimal solution occurring in Transportation problems. In Transportation Problems by presenting a new algorithm to choose the Absolute differences of boundary cost cells. This New Algorithm lesser time than the existing Transportation method to get the optimal solution using initial basic feasible solution. Proposed technique/algorithm is better choice to get optimal solution without finding initial basic feasible solution and hence the proposed algorithm is useful to get optimal solution Transportation problems. Key words:- Transportation Problems, Absolute differences of boundary cost cells, Modified Distribution (M.O.D.I) Method, Initial Basic feasible solution, Optimum solution. DOI: 10.7176/MTM/9-1-0

A Computational Cognitive Model Integrating Different Emotion Regulation Strategies

AbstractIn this paper a cognitive model is introduced which integrates a model for emotion generation with models for three different emotion regulation strategies. Given a stressful situation, humans often apply multiple emotion regulation strategies. The presented computational model has been designed based on principles from recent neurological theories based on brain imaging, and psychological and emotion regulation theories. More specifically, the model involves emotion generation and integrates models for the emotion regulation strategies reappraisal, expressive suppression, and situation modification. The model was designed as a dynamical system. Simulation experiments are reported showing the role of the emotion regulation strategies. The simulation results show how a potential stressful situation in principle could lead to emotional strain and how this can be avoided by applying the emotion regulation strategies decreasing the stressful effects