Predefined-time distributed multiobjective optimization for network resource allocation

نویسندگان

چکیده

We consider the multiobjective optimization problem for resource allocation of multiagent network, where each agent contains multiple conflicting local objective functions. The goal is to find compromise solutions minimizing all functions subject constraints as much possible, i.e., Pareto optimums. To this end, we first reformulate into one single-objective distributed by using weighted Lp preference index, weighting factors are obtained from procedure so that optimizer latter desired optimum former. Next, propose novel predefined-time algorithms solve reformulated time-based generators. show solved within a predefined time if strongly convex and smooth. Moreover, settling can be arbitrarily preset since it does not depend on initial values designed parameters. Finally, numerical simulations presented illustrate effectiveness proposed algorithms.

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ژورنال

عنوان ژورنال: Science China Information Sciences

سال: 2023

ISSN: ['1869-1919', '1674-733X']

DOI: https://doi.org/10.1007/s11432-022-3791-8