This paper uses support vector regression (SVR) to predict short-term traffic flow, and studies the feasibility of SVR in flow prediction. The short-time has many influencing factors, which are characterized by nonlinearity, randomness periodicity. Therefore, algorithm advantages dealing with such problems. In order improve prediction accuracy SVR, this genetic (GA) optimize other parameters ob...

pumps are among the early instruments invented by humans to be taken advantage of in the use of water utilities. design and operation problem of pumping stations is a type of mixed integer non linear programming, in which gradient based optimization methods are not efficient for solving complex problems of this type. in this regard, such evolutionary optimization algorithms as genetic algorithm...

it is well known that the parabolic partial differential equationsin two or more space dimensions with overspecified boundary data,feature in the mathematical modeling of many phenomena. in thisarticle, an inverse problem of determining an unknowntime-dependent source term of a parabolic equation in generaldimensions is considered. employing some transformations, wechange the inverse problem to...