OBJECT-ORIENTED USABILITY INDICES FOR MULTI-OBJECTIVE DEMAND SIDE MANAGEMENT USING TEACHING-LEARNING BASED OPTIMIZATION

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

This paper proposes Object-Oriented Usability Indices (OOUI) for multi-objective Demand Side Management (DSM).These indices quantify the achievements of multi-objective DSM in a power network.DSM can be considered as a method adopted by utilities to shed some load during peak load hours.Usually, there are service contracts, and the curtailments or

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Development of Acridone Derivatives: Targeting c-MYC Transcription in Triple-Negative Breast Cancer with Inhibitory Potential

Breast cancer, especially the aggressive triple-negative subtype, poses a serious health threat to women.Unfortunately, effective targets are lacking, leading to a grim prognosis.Research highlights the crucial role of Washer c-MYC overexpression in this form of cancer.Current inhibitors targeting c-MYC focus on stabilizing its G-quadruplex (G4) st

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A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System

A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system.The performance of the MMOSADE is tested by the ZDT test function set and compared with classical evolutionary algorithms.The results indicate that MM

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