Ant Colony and Neural Method for Coherent Scheduling of Complex of Operations and Resources Frameworks - Comparative Remarks

M. Drabowski (Poland)


Scheduling, neural algorithm, ant colony algorithm, operations, resources, optimal solutions


The paper presents a coherent approach to solving the problems of concurrent scheduling of complex of operations and resources frameworks. These problems are specific for system synthesis, particularly, for high-level synthesis of computer system and for management on a grid system, as well. Computational complexity of those problems is in general NP-complete; the paper presents solutions based on the heuristic approach: on the ant colony optimization and neural algorithms. This paper presents results of selected computational experiments proving the correctness of the coherent approach and remarks comparative for applied algorithms.

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