منابع مشابه
True Pareto Fronts for Multi-objective AI Planning Instances
Multi-objective AI planning suffers from a lack of benchmarks with known Pareto Fronts. A tunable benchmark generator is proposed, together with a specific solver that provably computes the true Pareto Front of the resulting instances. A wide range of Pareto Front shapes of various difficulty can be obtained by varying the parameters of the generator. The experimental performances of an actual ...
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Article history: Received 5 June 2012 Received in revised form 12 June 2013 Accepted 19 November 2013 Available online 27 November 2013
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A multi-objective optimization problem (MOP) is formulated as the joint minimization of m conflicting objective functions f1(x), . . . , fm(x) w.r.t a vector x of n decision variables. Typically, x ∈ Ω, where Ω ⊂ R is the feasible region, defined by a set of constraints on the decision variables. Objective vectors are images of decision vectors and can be written as z = f(x) = (f1(x), . . . , f...
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ژورنال
عنوان ژورنال: Meteorological Applications
سال: 1998
ISSN: 1350-4827
DOI: 10.1017/s1350482798000553