Titlebook: Evolutionary Multi-Criterion Optimization; 8th International Co António Gaspar-Cunha,Carlos Henggeler Antunes,Carl Conference proceedings 2

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Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisationn. When the optimisation problem experiences observational noise, there is also a trade-off with respect to accuracy refinement – as improving the estimate of a design’s performance typically is at the cost of additional function reevaluations. Empirically the most effective resampling approach deve

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Using Indifference Information in Robust Ordinal Regressionindifference between real and fictitious alternatives. In particular, we allow the decision maker to suggest a new alternative that is different from the existing alternatives, but equally preferable. As shown by several experiments in psychology of the decisions, choosing between alternatives is di

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Genetic Algorithm Approach for a Class of Multi-Criteria, Multi-Vehicle Planner of UAVsf forest at the minimum possible time, for rescuing support, fire detection, deforestation mitigation, among other important applications in the Amazon rain forest operational scenario. However, time is not the only criteria to be considered. Given that it is virtually impossible to recover a missin

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978-3-319-15891-4Springer International Publishing Switzerland 2015

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Evolutionary Multi-Criterion Optimization978-3-319-15892-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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