The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum. One of the ways inaccurate optimization is meta-heuristics so that Inspired by nature, ...

application of cogeneration systems based gas turbine for heat and power production is increasing. because of finite natural energy resources and increasing energy demand the cost effective design of energy systems is essential. cgam problem as a cogeneration system is considered here for analyzing. two new approaches are considered, first in thermodynamic model of gas turbine and cogeneration ...

In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

The approximately 300 (298, 95% CI: 152-581) elephants in the Lower Kinabatangan Managed Elephant Range in Sabah, Malaysian Borneo are a priority sub-population for Borneo's total elephant population (2,040, 95% CI: 1,184-3,652). Habitat loss and human-elephant conflict are recognized as the major threats to Bornean elephant survival. In the Kinabatangan region, human settlements and agricultur...

With the growing maturity of SQL-on-Hadoop engines such as Hive, Impala, and Spark SQL, many enterprise customers are deploying new and legacy SQL applications on them to reduce costs and exploit the storage and computing power of large Hadoop clusters. On the enterprise data warehouse (EDW) front, customers want to reduce operational overhead of their legacy applications by processing portions...

knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. due to properly converting the task of optimization to an equivalent...

With the vigorous development of Internet, network traffic data centers has exploded, and at same time, energy consumption also increased rapidly. Existing routing algorithms only realize optimization through Quality Service (QoS) Experience (QoE), which ignores center networks. Aiming this problem, paper proposes an Ee-Routing algorithm, is energy-saving algorithm based on deep reinforcement l...

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...