Scheduling Multiprocessor Tasks to Minimize Schedule Length
IEEE Transactions on Computers
Ant algorithms for discrete optimization
Artificial Life
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
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The paper presents a coherent approach to solving the problems of computer system synthesis based on Ant Colony Optimization methods. We describe algorithm realizations aimed to optimize resource selection and task scheduling, as well as the adaptation of this algorithm for coherent co-synthesis realization. This is approach, which we called a par-synthesis [1]. We then present selected analytical experiments proving the correctness of the par-synthesis concept and indicate its practical motivations.