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Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts
According to the published papers and books since the turn of the century, Pareto optimization is the dominating assessment method for multi-objective nonlinear optimization problems treated by population-based optimizers like Evolutionary Algorithms.
Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications
Metaheuristics (MHs) in general and Evolutionary Algorithms (EAs) in particular are well known tools for successful optimization of difficult problems.
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
The new method provides cluster or cloud parallelizability and is able to deal with a comparably large number of distributed energy resources.
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