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The major goal of this present work is to evolve combined economic emission dispatch problems employing a modified glowworm swarm based optimization (MGSO) approach. The objective function of this article is treated as cost and emission. The assumption has been carried out by the decision maker for which the multiobjective problem is translated to one intent function. The glowworm swarm based algorithm...
Economic problems in the optimal management of strategic resource stockpiles can be rigorously studied and solved by formulating them as optimal control problems in continuous time. Often, the real economic systems and stockpiling scenarios of interest exhibit both stochastic features and input saturation effects. Building on work to account for saturation effects into basic optimal stockpile problems,...
Economic load dispatch means that the generator's real and reactive powers are allowed to vary with in certain limit so as to meet a particular load demand with minimum fuel cost. In this paper a Multi -Objective Economic Emission Load Dispatch problem is solved to minimize the emission of nitrogen oxides(NOx), oxides of other fuels that release during generation of electricity and fuel cost considering...
In POO (Project-Oriented Organizations), the efforts from enterprise such as attention and support on the project as well as coordinative efforts between enterprise and project team are greatly influence the outcome of the project team. However, in traditional principal-agency theory, only the efforts from project team members were considered, while the efforts from enterprise were neglected. Therefore,...
The paper discusses the choices for firms whether to development technology innovation in risk. At first we show the input and output the firms should experience in no risk, then discuss the government support, market competition and cost function in the technology innovation. By economic method analysis, all the conclusions are that the firms should choose development new technology. This conclusion...
This paper presents an implementation of the economic dispatch problem with demand participation representation using the Particle Swarm Optimization (PSO) technique. The problem is formulated in the context of a small grid, whose manager dispatches generation and flexible demand along a time horizon in order to minimize generation costs. Power flow equality constraints and inequality constraints...
Looking into the history of those existed studies, advertising is normally seen either as a service of information which shifts the demand curve or as a signal which helps the consumers to form an expectation of the quality. So, in this paper my approach is a combination of the two. I will develop a new economic model, in which expected quality parameter is a function of the current advertised quality...
The paper analyzes a three stage game of R&D where duopoly are engaged in cost-reducing innovation. In the model, the spillovers of information are treated endogenous and the goods is differentiated at the same time. It is shown if the R&D stage is non-cooperative, the firms will never disclose their information when goods is substituted and completely disclose their information when goods...
In this study, particle swarm optimization (PSO) algorithm has been used for the solution of the economic dispatch problem with valve point effect. In these kind of problems, fuel cost curve increases as sinusoidal oscillations. In the solution of the problem B loss matrix has been used for the calculation of the transmission line losses. Total fuel cost rate has been minimized under electrical constraints...
In this paper, the method of allocating the total permitted pollution discharge capacity(TPPDC) is studied. Based on the divisible goods auction, an optimization auction model to allocate the TPPDC is established, and the polluters' bidding strategies are emphatically discussed. Aiming at maximizing the polluters' expected-utility values, a linear equilibrium auction strategy and a nonlinear equilibrium...
In this paper we are concerned with the recursive zero-sum stochastic differential game problems. Using the backward stochastic differential equations techniques the existence result of a saddle point is obtained when the Isaacs' condition holds. An example and simulation result are also given to illustrate the application of theoretical result.
During researching firms' CIS performance, the e-business's optimization decision behaviors are an important factor. Based on the principal-agent theory, a linear relation model of e-business behavior and CIS performance is set up, which points out the e-business's optimization decision behavior, the numeral relationships between e-business's optimal efforts, optimal capability and CIS performance...
We consider the task of bioeconomic optimal control. The biomass dynamics is given by fractional stochastic differential equation. The discounted multiplicative production function describes net revenue and takes into account elasticity coefficients. Stochastic control problem is converting to non-random one. Necessary optimality conditions with respect to fractional terms are formulated as theorems...
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