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Decomposition is a well-known strategy in traditional multiobjective optimization. However, the decomposition strategy was not widely employed in evolutionary multiobjective optimization until Zhang and Li proposed multiobjective evolutionary algorithm based on decomposition (MOEA/D) in 2007. MOEA/D proposed by Zhang and Li decomposes a multiobjective optimization problem into a number of scalar optimization...
The most common way of multi-objective optimizations is assigning a weight to each objective and construct a single fitness function. In this method finding of the appropriate weights is the most important problem. The second method, which is not very well-known for power system researchers, is to optimize the objectives independently. Many optimum answers are achieved instead of a single one. These...
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