Abstract
Problems with multiple objectives arise in a natural fashion in most disciplines and their solution has been a challenge to researchers for a long time. Despite the considerable variety of techniques developed in Operations Research (OR) to tackle these problems, the complexities of their solution calls for alternative approaches.
“There is nothing more difficult to take in hand, more perilous to conduct, or more uncertain in its success, than to take the lead in the introduction of a new order to things.”
—Niccolo Machiavelli
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© 2002 Springer Science+Business Media New York
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Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B. (2002). Basic Concepts. In: Evolutionary Algorithms for Solving Multi-Objective Problems. Genetic Algorithms and Evolutionary Computation, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5184-0_1
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DOI: https://doi.org/10.1007/978-1-4757-5184-0_1
Publisher Name: Springer, Boston, MA
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