2006 · 553 citations · 25 references
Natural SciencesMathematicsAlgorithmsDesign OptimizationOptimizationGenetic AlgorithmsMetaheuristic OptimizationMulti-objective OptimizationMultiobjective OptimizationOptimization TheoryPareto OptimalityEvolutionary AlgorithmsMetaheuristic SearchMulti-objective Evolutionary AlgorithmsMulti-objective Evolutionary ComputationMultiobjective Evolutionary AlgorithmsPareto Frontier AnalysisPareto Optimal SolutionPareto-based Optimization
The goal of this chapter is to give fundamental knowledge on solving multi-objective optimization problems. The focus is on the intelligent metaheuristic approaches (evolutionary algorithms or swarm-based techniques). The focus is on techniques for efficient generation of the Pareto frontier. A general formulation of MO optimization is given in this chapter, the Pareto optimality concepts introduced, and solution approaches with examples of MO problems in the power systems field are given
25