Results 111 to 120 of about 156,769 (285)
IEEE AccessIn optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various disciplines have significantly advanced the study and ...
Zitong Wang, Yan Pei, Jianqiang Li
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Dianzi Jishu Yingyong, 2019 The uncertainty of physical parameters in earth system models has a huge impact on the performance of climate simulations. Tuning physical parameters is critical to improving the accuracy of climate predictions.
Wu Li, Huang Xin, Xue Wei
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On Test Functions for Evolutionary Multi-objective Optimization
, 2004 In order to evaluate the relative performance of optimization algorithms benchmark problems are frequently used. In the case of multi-objective optimization (MOO), we will show in this paper that most known benchmark problems belong to a constrained class of functions with piecewise linear Pareto fronts in the parameter space.
Okabe, T +3 more
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Advanced Functional Materials, EarlyView.This study demonstrates a Maya blue‐inspired hybrid solar evaporator using commercial black acrylic paint, achieving 98% solar‐thermal conversion efficiency and 2.39 kg m−2 h−1 water evaporation rate through a durable, hydrophilic organic–inorganic structure that enables scalable, cost‐effective desalination and wastewater purification.
Dao Thi Dung +5 more
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MULTI-POPULATION EVOLUTIONARY ALGORITHMS ON MULTI-OBJECTIVE OPTIMIZATION OF GROUNDWATER REMEDIATION
Revista Águas Subterrâneas, 2015 Through the last three decades the evolutionary algorithms had success on application in many areas. Among the main its advantages, accordingly various researchers, are the application facility, the efficiency and the confidence.
Marcos Rodrigues Pinto
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Mathematics, 2019 We propose a method to accelerate evolutionary multi-objective optimization (EMO) search using an estimated convergence point. Pareto improvement from the last generation to the current generation supports information of promising Pareto solution areas ...
Yan Pei, Jun Yu, Hideyuki Takagi
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Advanced Functional Materials, EarlyView.Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang +7 more
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A Novel Co-Evolutionary Multi-Objective Optimization Algorithm
Kongzhi Yu Xinxi JishuTo improve the search efficiency of optimization algorithms and solve issues related to local search, this paper proposes a novel cooperative co-evolutionary multi-objective algorithm.
ZHU Haifeng
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Ain Shams Engineering Journal, 2019 In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered.
H. Monsef +3 more
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Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals
Advanced Functional Materials, EarlyView.This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee +4 more
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