This is a Python and Pyomo based implementation of the augmented ε-constraint (AUGMECON) method and its variants which can be used to solve multi-objective optimization problems, i.e., to return an ...
Abstract: In this article, the problem of online distributed optimization subject to a convex set is studied by employing a network of agents, where the objective functions allocated to agents are ...
Abstract: Transforming a constrained optimization problem (COP) into a multi/many-objective optimization problem (MOP/MaOP) represents a practical approach for solving COPs. This article introduces an ...
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