multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

We numerically investigate turbulent Rayleigh-B\'enard convection within two immiscible fluid layers, aiming to understand how the layer thickness and properties affect heat transfer (characterized by Nusselt number $Nu$) in two-layer systems. Both two- three-dimensional simulations are performed at fixed global Rayleigh $Ra=10^8$, Prandtl $Pr=4.38$, Weber $We=5$. vary relative of upper between...

cardiovascular diseases are one of the most common diseases that cause a large number of deaths each year. coronary artery disease (cad) is the most common type of these diseases worldwide and is the main reason of heart attacks. thus early diagnosis of cad is very essential and is an important field of medical studies. many methods are used to diagnose cad so far. these methods reduce cost and...

evolutionary algorithms are some of the most crucial random approaches tosolve the problems, but sometimes generate low quality solutions. on the otherhand, learning automata are adaptive decision-making devices, operating onunknown random environments, so it seems that if evolutionary and learningautomaton based algorithms are operated simultaneously, the quality of results willincrease sharpl...

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

The problem of short-term scheduling often involves the satisfaction of variable product demands at specific due dates within the time horizon under consideration. Ierapetritou and Floudas, [2, 3] presented a novel continuous time formulation to effectively address the problem of short-term scheduling in batch, continuous and mixed production facilities where product demands are specified at th...

We propose an analytical model to estimate the interface temperature $\Theta_{\Gamma}$ and Nusselt number $Nu$ for evaporating two-layer Rayleigh-B\'enard configuration in statistically stationary conditions. The is based on three assumptions: (i) Oberbeck-Boussinesq approximation can be applied liquid phase, while gas thermophysical properties are generic functions of thermodynamic pressure, l...

microgrids are small-scale, low voltage (lv) power networks which employ renewable distribution energy resources (ders) with power electronic interfaces (peis). microgrids as single controlled units and active distribution networks require flexible control systems to ensure reliable and secure operation in different modes. these various operations of microgrid cause variations in voltage and fr...

we present an improved implementation of the wagner-whitin algorithm for economic lot-sizing problems based on the planning-horizon theorem and the economic- part-period concept. the proposed method of this paper reduces the burden of the computations significantly in two different cases. we first assume there is no backlogging and inventory holding and set-up costs are fixed. the second model ...

14 It is shown further how the discrete wavelet transform can be shift invariant in the sense that the coecients of the transform at a scale for a shifted sequence can be computed from the coecients at the same scale from the original sequence. We derived conditions for the analyzing lters in order to obtain that kind of shift invariance. The transfer functions of the lters must not overlap wit...