Improving Convergence, Diversity and Pertinency in Multiobjective Optimisation
Real-world problems commonly require the simultaneous consideration of multiple, often conflicting, objectives. Solving a multiobjective optimisation problem (MOP) is concerned with finding an ideal set of tradeoff solutions which are close to and uniformly distributed across the optimal tradeoff su...
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University of Sheffield
2007
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486780 |