XML-technologies and digitization
Automatic Modification of Smalltalk Methods
Nastava računarstva i informatike u srednjim školama
Teškoće u korišćenju Interneta - Terminološki problemi i kako ih prevazići
The role of programming paradigms in the first programming courses
Solving the simple plant location problem by genetic algorithm
The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.
Digitalization in the Bar County Museum – Pilot Project
Using Svg–xml for representation of historical graphical data
Potential Role of SMIL in Digitalization of National Heritage
Solving the simple plant location problem by genetic algorithm
The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.
Genetic Algorithms and Smoothing Filters in Solving the Geophysical Inversion Problem
Using Simplex Method in Verifying Software Safety
Solving the Geophysical Inversion Problem Using Genetic Algorithms
A Genetic Algorithm for the Routing and Carrier Selection Problem
A New Genetic Representation for Quadratic Assignment Problem
Genetic Algorithm Approach for Solving the Task Assignment Problem
This research was partially supported by the Serbian Ministry of Science and Ecology under project 144007. The authors are grateful to Ivana Ljubić for help in testing and to Vladimir Filipović for useful suggestions and comments. In this paper a genetic algorithm (GA) for the task assignment problem (TAP) is considered.An integer representation with standard genetic operators is used. Computational results are presented for instances from the literature, and compared to optimal solutions...
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