This text examines how multiobjective evolutionary algorithms
and related techniques can be used to solve problems, particularly
in the disciplines of science and engineering. Contributions by
leading researchers show how the concept of multiobjective
optimization can be used to reformulate and resolve problems in
areas such as constrained optimization, co-evolution,
classification, inverse modeling, and design.
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