We seek to determine the optimal amount of the insurer’s investment in all types of assets for a small and closed economy. The goal is to detect the implications and contributions the risk seeker and risk aversion insurer commonly make and the effectiveness in the investment decision. Also, finding the optimum portfolio for each is the main goal of the present study. To this end, we adopted the...

This paper considers advertising, collection and pricing decisions simultaneously for a closed-loop supplychain(CLSC) with one manufacturer(he) and two retailers(she). A multiplicatively separable new demand function is proposed which influenced by pricing and advertising. In this paper, three well-known scenarios in the game theory including the Nash, Stackelberg and Cooperative games are expl...

This paper deals with a novel method for solving optimal control problems based on genetic programming. This approach produces some trial solutions and seeks the best of them. If the solution cannot be expressed in a closed analytical form then our method produces an approximation with a controlled level of accuracy. Using numerical examples, we will demonstrate how to use the results.

tio2 nanoparticles were synthesized by modified sol—gel method using pure room temperature ionic liquid(rtil) 2-hydroxyethylammonium formate as a reaction medium. the structure and morphology of tio2nanoparticles were characterized with x-ray powder diffraction (xrd), bet surface analysis and scanningelectron microscopy (sem). tio2 nanoparticles were synthesized in open and closed vessels. the ...

green supply chain management is an environmental approach in supply chain management that aims to decrease ecological risks in products’ life cycle. closed-loop supply chain by collecting and recycling the harmful production in nature attempts to achieve this goal. in this paper, due to different strategies in collecting products, several pricing models in two-echelon closed supply chain are p...

this paper describes an optimal design for multivariable pi controller with a high gain structure for an irregular system by genetic algorithm. pi controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in the closed loop system that have unique characteristics. the slow modes are asymptotically uncontrollable and unobservable; therefore, they hav...