Summary
Very often real-world applications have several multiple conflicting objectives. Recently there has been a growing interest in evolutionary multiobjective optimization algorithms that combine two major disciplines: evolutionary computation and the theoretical frameworks of multicriteria decision making. In this introductory chapter, some fundamental concepts of multiobjective optimization are introduced, emphasizing the motivation and advantages of using evolutionary algorithms. We then lay out the important contributions of the remaining chapters of this volume.
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© 2005 Springer-Verlag London Limited
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Abraham, A., Jain, L. (2005). Evolutionary Multiobjective Optimization. In: Abraham, A., Jain, L., Goldberg, R. (eds) Evolutionary Multiobjective Optimization. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/1-84628-137-7_1
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DOI: https://doi.org/10.1007/1-84628-137-7_1
Publisher Name: Springer, London
Print ISBN: 978-1-85233-787-2
Online ISBN: 978-1-84628-137-2
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