Designing and developing an accurate model of fuel cell systems, particularly for Proton Exchange Membrane Fuel Cells (PEMFCs), is critical for effective simulation, control, and management of these systems. One of th...
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Two-time-scale optimization is a framework introduced in Zeng et al. (2024) that abstracts a range of policy evaluation and policy optimization problems in reinforcement learning (RL). Akin to bi-level optimization un...
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To ensure the stability of power grids, numerous load forecasting methods have continuously evolved. However, due to variations in factors like algorithm generalization capabilities and model complexity, their effecti...
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Many real-world optimization problems involve mixed variables, multiple conflicting objectives, and computation-ally expensive evaluations. Such problems are called expensive mixed-variable multi-objective optimizatio...
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This study is dedicated to exploring the importance of marine topographic surveys, with special attention to the application of multibeam bathymetry in marine surveys. Through the establishment of mathematical models ...
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A two-stage multi-population co-evolutionary algorithm for complex constraints is designed, in which the first stage transforms a multi-objective optimization problem into multiple single-objective optimizations, divi...
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Real Coded Genetic algorithms (RCGAs) are pop-ular, versatile, non-traditional optimization techniques and can be applicable to a numerous variety of optimization problems. The performance of RCGAs depends on the choi...
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In this contribution we consider Max-LL-DUP, an optimization problem that asks for a letter-duplicated subsequence of an input string that contains the maximum number of letters of the alphabet over which the input st...
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A critical optimization job in power system operation is the Optimal Power Dispatch (OPD) problem, which aims to minimize the total generation cost while meeting power demand and system constraints. The complicated, n...
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Many real-world networks are globally sparse but locally dense. Typical examples are social networks, biological networks, and information networks. This double structural nature makes it difficult to adopt a homogene...
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Many real-world networks are globally sparse but locally dense. Typical examples are social networks, biological networks, and information networks. This double structural nature makes it difficult to adopt a homogeneous visualization model that clearly conveys both an overview of the network and the internal structure of its communities at the same time. As a consequence, the use of hybrid visualizations has been proposed. For instance, NodeTrix combines node-link and matrix-based representations (Henry et al., 2007). In this article we describe ChordLink, a hybrid visualization model that embeds chord diagrams, used to represent dense subgraphs, into a node-link diagram, which shows the global network structure. The visualization makes it possible to interactively highlight the structure of a community while keeping the rest of the layout stable. We discuss the intriguing algorithmic challenges behind the ChordLink model, present a prototype system that implements it, and illustrate case studies on real-world networks.
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