Search alternatives:
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based robust » based probes (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
app based » snp based (Expand Search), ai based (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based robust » based probes (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
app based » snp based (Expand Search), ai based (Expand Search)
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101
Part of data.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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102
Schematic diagram of Fuzzy PI controller.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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103
Schematic diagram of PMSM control system.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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104
The d-q axis current by use of scheme 3.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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105
The d-q axis current by use of scheme 2.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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106
The d-q axis current by use of scheme 1.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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107
The d-q axis current by use of scheme 2.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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108
The d-q axis current by use of scheme 3.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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109
The d-q axis current by use of scheme 1.
Published 2025“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm’s ability to escape local optima. …”
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110
Single Extracellular VEsicle Nanoscopy-Universal Protocol (SEVEN-UP): Accessible Imaging Platform for Quantitative Characterization of Single Extracellular Vesicles
Published 2025“…We herein quantified individual EVs by combining affinity isolation (analytical protocol based on SEVEN) with SRRF microscopy and new analysis algorithms supported by machine learning-based EV assessment. …”
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111
New energy generation power and EV power.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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112
New energy generation power and EV power.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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113
Economic objective.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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114
Conventional electrical load power prediction.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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115
Thermal power generation and load power curve.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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116
Thermal power, load curve.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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117
New energy generation power and EV power.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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118
Thermal power generation and load power curve.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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119
New energy consumption and integration objective.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”
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120
Peak shaving and valley filling objective.
Published 2024“…Finally, based on the analytic Hierarchy Process (AHP), the optimal scheduling scheme is determined. …”