One of the concepts that attracts attention since entering of big data era is the graph-
structured data. Suitable frameworks to handle such data would face several constraints …

The graph partitioning problem occurs in numerous applications such as circuit placement,
matrix factorization, load balancing, and community detection. For this problem, genetic …

Object-oriented (OO) software is usually organized into subsystems using the concepts of
package or module. Such modular structure helps applications to evolve when facing new …

Large Scale and Big Data: Processing and Management provides readers with a central
source of reference on the data management techniques currently available for large-scale …

Broadcasting is a fundamental problem in the information dissemination area. In classical
broadcasting, a message must be sent from one network member to all other members as …

In this study, we propose a new multi-objective mathematical model for designing compact,
balanced, and contiguous districts in healthcare systems. The objective functions minimize …

Partitioning graphs into equally large groups of nodes while minimizing the number of edges
between different groups is an extremely important problem in parallel computing. For …

Genetic algorithms, search algorithms based on the genetic processes observed in natural
evolution, have been used to solve difficult problems in many different disciplines. When …

Computing clusters (CC) consisting of several connected machines, could provide a high-
performance, multiuser, timesharing environment for executing parallel and sequential jobs …

(57) ABSTRACT A System for determining Schedules and processing other optimization
problems includes a local optimization engine and a global optimization engine. The local …