A NOVEL HYBRID SOFT COMPUTING OPTIMIZATION FRAMEWORK FOR DYNAMIC ECONOMIC DISPATCH PROBLEM OF COMPLEX NON-CONVEX CONTIGUOUS CONSTRAINED MACHINES.

A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines.

The reformations of the electrical power sector have resulted in very dynamic and competitive market that has changed many elements of the power industry.Excessive demand of energy, depleting the fossil fuel reserves of planet and releasing the toxic air pollutant, has been causing harm to earth habitats.In this new situation, insufficiency of ener

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Application of Generalized Poisson Regression Model in Feminine Fertility Data Analysis in Rural Areas of Fars Province

Background & objectives: statistical modeling explicates the observed changes Slippers in data by means of mathematics equations.In cases that dependent variable is count, Poisson model is applied.If Poisson model is not applicable in a specific situation, it is better to apply the generalized Poisson model.So, our emphasis in this study is to noti

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Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges

The US Environmental Protection Agency (EPA) and other federal agencies face a number of challenges in interpreting and reconciling short-duration (seconds to minutes) readings from mobile and handheld air sensors with the longer duration averages (hours to days) associated with the National Ambient Air Quality Standards (NAAQS) for the criteria po

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THE CHARACTERIZATION OF GRINDING FORCES

Traditionally the Milk Thistle (Silymarin) grinding process has been a finishing process and the operating parameters and the resuns obtained in this mode are well known.However, wHh the advent of more modern techniques in grinding, there is a need for a greater understanding of the process and in particular a need to be able to predict the forces

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