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Constraint-handling in nature-inspired numerical optimization: Past, present and future
<span title="">2011</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ctqi4x5bbaczleobj2rvn7lxe" style="color: black;">Swarm and Evolutionary Computation</a>
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In their original versions, nature-inspired search algorithms lack a mechanism to deal with the constraints of a numerical optimization problem. Nowadays, however, there exists a considerable amount of research devoted to design techniques for handling constraints within a nature-inspired algorithm. This paper presents an analysis of the most relevant types of those techniques. For each one of them, the most popular approaches are analyzed in more detail and some representative instantiations
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... e further discussed. In the last part of the paper, some of the future trends in the area are briefly presented and then the conclusions of this paper are shown.
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