Results 91 to 100 of about 50,463 (272)

Multiobjective adaptive current search for engineering design optimization

Engineering and Applied Science Research, 2017
This article proposes a multiobjective adaptive current search (MoACS) as a powerful metaheuristic optimization technique for solving multiobjective optimization problems.
Supaporn Suwannarongsri, Deacha Puangdownreong   +1 more
doaj   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

INTRODUCCIÓN DE ELEMENTOS DE MEMORIA EN EL MÉTODO SIMULATED ANNEALING PARA RESOLVER PROBLEMAS DE PROGRAMACIÓN MULTIOBJETIVO DE MÁQUINAS PARALELAS INTRODUCTION OF MEMORY ELEMENTS IN SIMULATED ANNEALING METHOD TO SOLVE MULTIOBJECTIVE PARALLEL MACHINE SCHEDULING PROBLEMS

Ingeniare: Revista Chilena de Ingeniería, 2008
El presente artículo introduce una variante de la metaheurística simulated annealing, para la resolución de problemas de optimización multiobjetivo. Este enfoque se demonina MultiObjective Simulated Annealing with Random Trajectory Search, MOSARTS.
Felipe Baesler, Reinaldo Moraga, Oscar Cornejo   +2 more
doaj  

Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai, Yuvaraja Shanmugam, A. Vivek Anand, Mesith Chaimanee, Choon Kit Chan, S. Prabhakar, R. Narayanamoorthi   +6 more
wiley   +1 more source

Effect of Microchannel Geometry on Nanoparticle Deposition in Nanofluid Flow

International Journal for Numerical Methods in Fluids, EarlyView.
This study numerically analyzed nanoparticle deposition in microchannels with varying geometries. Deposition per unit area decreases significantly with increasing bend angle (28.612 to 8.941 between 30° and 120°) and bend radius (11.922 to 4.769 between 0.2 and 0.4 mm). Acute bends and small radii enhance centrifugal forces and flow separation, leading
Meng Wang, Kai Zhang, Juanli Zhang, Jay Wang   +3 more
wiley   +1 more source

Tuning PID Controller Using Multiobjective Ant Colony Optimization

Applied Computational Intelligence and Soft Computing, 2012
This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing ...
Ibtissem Chiha, Noureddine Liouane, Pierre Borne   +2 more
doaj   +1 more source

Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays

Nonlinear Analysis, 2019
In this study, a multiobjective nonfragile control is proposed for a class of stochastic Takagi and Sugeno (T–S) fuzzy systems with mixed time delays to guarantee the optimal H2 and H∞ performance simultaneously.
Yang Yang, Jianwei Xia, Jianli Zhao, Xiaodi Li, Zhen Wang   +4 more
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

A Quantum Adiabatic Algorithm for Multiobjective Combinatorial Optimization

Axioms, 2019
In this work we show how to use a quantum adiabatic algorithm to solve multiobjective optimization problems. For the first time, we demonstrate a theorem proving that the quantum adiabatic algorithm can find Pareto-optimal solutions in finite-time ...
Benjamín Barán, Marcos Villagra
doaj   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source