Search alternatives:
design optimization » bayesian optimization (Expand Search)
binary across » binary factors (Expand Search), vary across (Expand Search), bias across (Expand Search)
across design » across lesion (Expand Search)
binary space » binary image (Expand Search), banach space (Expand Search)
design optimization » bayesian optimization (Expand Search)
binary across » binary factors (Expand Search), vary across (Expand Search), bias across (Expand Search)
across design » across lesion (Expand Search)
binary space » binary image (Expand Search), banach space (Expand Search)
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DE algorithm flow.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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Test results of different algorithms.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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Supplementary file 1_Encodings of the weighted MAX k-CUT problem on qubit systems.pdf
Published 2025“…This problem has significant applications across multiple domains. This study explores encoding methods for MAX k-CUT on qubit systems by utilizing quantum approximate optimization algorithms (QAOA) and addressing the challenge of encoding integer values on quantum devices with binary variables. …”
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New building interior space layout model flow.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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