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What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization
The presence of many objectives typically introduces a number of challenges that affect the choice/design of optimization algorithms.
Experimental Analysis of Design Elements of Scalarizing Functions-based Multiobjective Evolutionary Algorithms
In this paper we systematically study the importance, i. e., the influence on performance, of the main design elements that differentiate scalarizing functions-based multiobjective evolutionary algorithms (MOEAs).
Improved Quick Hypervolume Algorithm
In this paper, we present a significant improvement of Quick Hypervolume algorithm, one of the state-of-the-art algorithms for calculating exact hypervolume of the space dominated by a set of d-dimensional points.
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