HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
نویسندگان
چکیده
منابع مشابه
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with regard to Pareto dominance: whenever a Pareto set approximation entirely dominates another one, then the indicator value of the dominant set will also be better. This property is of high interest and relevance for problems involv...
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Multiobjective optimization problems occur frequently in practice where multiple objectives have to be optimized simultaneously and the goal is to find or approximate the set of Pareto-optimal solutions. Multiobjective evolutionary algorithms (MOEAs) are one type of randomized search heuristics that are well-suited for multiobjective optimization problems due to their ability of computing a set...
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ژورنال
عنوان ژورنال: Evolutionary Computation
سال: 2011
ISSN: 1063-6560,1530-9304
DOI: 10.1162/evco_a_00009