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multi-objective optimization problem is an optimization
problem that involves multiple objective functions. In mathematical terms, a
multi-objective optimization problem can be formulated as ((), (), …, ()) ∈,where the integer ≥ is the number of objectives and the set is the feasible set of decision vectors. The feasible set is typically defined by some constraint functions.
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genetic algorithm, a population of candidate solutions (called individuals, creatures, or phenotypes) to an optimization
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