In this paper, we propose parallel heuristic methods to accelerate the generation of $(n,m)$ best equivocation code (BEC), where notation="LaTeX">$n$ and notation="LaTeX">$m$ are message lengths, respectively. The proposed dynamic pro...

This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to overcome issues that came up in a classroom learning setting. The tool focuses on supporting learners with experimentation to identify or test hypotheses. The aim is not only to support learning domain knowledge, but also learning...

The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...

the task of balancing of assembly lines is well-known in mass production system but this problem is np-hard even for the simple straight line. therefore, utilizing heuristic methods for these problems is totally unquestionable. furthermore, in line with balancing problems, heuristic methods are the foundation of the metaheuristic methods, thus it seems to be necessary to use more efficient heur...

Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature. In this paper, we applied 2-opt, greedy 2-opt, 3-opt, greedy 3-opt, and VNZ as heuristic methods and tabu search (TS), simulated annealing, and pa...