In this paper, we present a deterministic permutation flowshop scheduling problem with new objective function, the total core idle time. The interest of is related to reduce energy consumption system, taking into account that needed during processing times constant, and machines are switched off front back times. Therefore, dependent on time where in stand-by mode, i.e between jobs, named as Co...

The satisfiability problem (SAT) is a well studied problem in logic which searches for a truth assignment of a set of Boolean variables that evaluates a specific formula to true. The bandwidth minimization problem for graphs (BMPG) is a well studied problem in graphs and requires finding the labels of the nodes of a graph such that the maximum absolute difference among neighbors is minimized. T...

We have analyzed the important problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. The standard statistical method of the data analysis and minimization was confronted with the Neural Network approaches. For the Natural Neural Networks we have used brains of high school students involved in our Roland Maze Project. The exc...

We present an open global minimization problem: it concerns the minimization of the volume among the compact convex sets in R3 of a given constant thickness.

There is extensive literature related to vehicle emissions, and several laboratory and field methods are available for estimating vehicle emissions rates (1). Research indicates that CO2 is the predominant transportation GHG and is emitted in direct proportion to fuel consumption, with a variation by type of fuel (2). For most vehicles, fuel consumption and the rate of CO2 per mile traveled dec...

This paper proposes a procedure for solving total time minimization in fuzzy transportation problem where the transportation time, source and destination parameters have been expressed as exponential fuzzy numbers by the decision maker. An algorithm is developed to obtain the optimal solution as exponential fuzzy number, which enables the decision maker to obtain more informing results and wide...