Evolutionary multi-objective optimization: a historical view of the field

By Carlos Artemio Coello Coello. IEEE Computational Intelligence Magazine, 2006

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization (2016, background): “In 1984, a revolutionary idea was proposed by David Schafer (Coello Coello, 2006).”
Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies (2024, positive): “After first pioneering work in the eighties [74] and in the early nineties [36, 55], these methods received strong attention during the last two decades [17].”
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection (2008, methodology): “Following Coello Coello’s recent review of evolutionary multiobjective optimization ﬁeld (Coello Coello, 2005, 2006), NSGA-II, SPEA2, PESA-II, and some others can be considered as representative of the state-of-the-art in multiobjective optimization.”
Economic and Environmental Generation and Voyage Scheduling of All-Electric Ships (2016, background): “Also, since reducing the FC and GE can be conflicting goals [23], treating each as a separate optimisation objective, and collecting the Pareto compromising results [28], [29] will make the solution more comprehensive.”