Ye was bred about the mill, ye hae mooped a' your manners.
"The Proverbs of Scotland" by Alexander Hislop
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The multiob jective optimization problem (MOOP) is to optimize two or more ob jective functions simultaneously, sub ject to given constraints.
MOCSA: multiobjective optimization by conformational space annealing
MOOP occurs in various ﬁelds such as industrial design, ﬁnance, management and many engineering areas.
MOCSA: multiobjective optimization by conformational space annealing
In section 2, the deﬁnition of MOOP and related terms are described.
MOCSA: multiobjective optimization by conformational space annealing
Due to the presence of multiple ob jective functions, a ﬁnal solution of MOOP consists of a set of non-dominated solutions instead of a single point.
MOCSA: multiobjective optimization by conformational space annealing
Since the size of Pareto optimal front, P F is inﬁnite in general, which is impossible to obtain in practice, practical algorithms for MOOP yield a set of non-dominated solutions of a ﬁnite size.
MOCSA: multiobjective optimization by conformational space annealing
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