The economic dispatch (ED) is one of the most important short-term problems in power systems, and solving it quickly is essential. However, classical optimization tools are often too computationally demanding to be considered satisfactory. This has motivated the application of metaheuristic methods, ...
They are particularly useful for complex routing problems where finding an optimal solution is computationally expensive. Examples include: Genetic Algorithms Simulated Annealing Ant Colony Optimization Hybrid Algorithms: Hybrid algorithms combine elements of both heuristic and metaheuristic approaches to achieve...
Using the penalty method, the constrained minimization is transformed into a non-convex, multi-modal unconstrained optimization problem, which is solved using a metaheuristic algorithm called the improved multi-operator differential evolution. We apply the framework to determine optimal social distancing ...
This prompted some researchers to focus on optimizing contractors' operational decisions using linear programming models (Tirkolaee et al., 2021; Tirkolaee and Aydın, 2021) and metaheuristic algorithms (Liu et al., 2020). The results can help contractors to a better plan. Valizadeh and ...
The economic dispatch (ED) is one of the most important short-term problems in power systems, and solving it quickly is essential. However, classical optimization tools are often too computationally demanding to be considered satisfactory. This has motivated the application of metaheuristic methods, ...
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