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Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-020-3092-y
Abstract: Many real-world optimization problems involve multiple conflicting objectives. Such problems are called multiobjective optimization problems (MOPs). Typically, MOPs have a set of so-called Pareto optimal solutions rather than one unique optimal solution. To assist the…
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Keywords:
multiobjective evolutionary;
evolutionary algorithm;
algorithm based;
interactive multiobjective ... See more keywords
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Published in 2019 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2019.109770
Abstract: The design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) method over a posteriori methods…
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Keywords:
process;
potential interactive;
interactive multiobjective;
multiobjective optimization ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3123825
Abstract: Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the underlying trade-offs among the…
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Keywords:
desdeo;
desdeo modular;
interactive methods;
optimization ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161465
Abstract: In today’s data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs. Interactive multiobjective optimization…
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Keywords:
optimization;
interactive multiobjective;
multiobjective optimization;
decision ... See more keywords