Titlebook: Many-Criteria Optimization and Decision Analysis; State-of-the-Art, Pr Dimo Brockhoff,Michael Emmerich,Robin Purshouse Book 2023 Springer N

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Visualisation for Decision Support in Many-Objective Optimisation: State-of-the-art, Guidance and Furtant part of a constructive decision making process for examining real world many-objective problems. The chapter first illustrates how visualisation can be applied to problem framing, guided optimization, trade-off assessment and solution selection. Next, the chapter reviews state-of-the-art visua

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Theoretical Aspects of Subset Selection in Multi-Objective Optimisationd then compute or approximate the solution(s) of these transformed problems. Scalarisation methods are one such example where a set of solutions is determined by solving a sequence of single-objective problems. Another example are indicator-based methods where the aim is to determine, at once, a set

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Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problemsade-offs where a solution can be better with respect to one objective but requires a compromise in the other objectives. In many real-world problems the relationship between objectives is unknown or uncertain, and it is common to find problems with non-conflicting objectives. Understanding these rel

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Heterogeneous Objectives: State-of-the-Art and Future Research incommensurable in units or scale). For example, in a heterogeneous problem the objective function components may differ in formal computational complexity, practical evaluation effort (time, costs, or resources), determinism (stochastic vs deterministic), or some combination of all three. A partic

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