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Showing 1 to 3 of 3 for “"Many-objective optimization"”.
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A Scalability Study and New Algorithms for Large-Scale Many-Objective Optimization
Many real-world optimization problems contain multiple (often conflicting) goals to be optimized concurrently, commonly referred to as multi-objective problems (MOPs). Over the past few decades, a plethora of multi-objective algorithms have been proposed, often tested on MOPs possessing two or …
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Toward enhancement of evolutionary multi- and many-objective optimization: algorithms, performance metrics, and visualization techniques
… last three decades, the focus of multi-criteria optimization has been solving problems containing two or three objectives. However, real-world problems generally involve multiple stakeholders and functionalities requiring relatively large number of objectives and decision variables to model these …
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Towards a holistic integration of energy justice and energy system engineering
… planning tools optimize for a singular cost objective which challenges decision-makers’ ability to balance competing priorities such as sustainability, employment, or land use. This thesis develops the first multi-objective energy system optimization framework, Osier, to enhance the …