Pareto optimal design of square cyclone separators using a novel multi-objective optimization algorithm

2012 ◽  
Vol 35 (3) ◽  
pp. 289-300 ◽  
Author(s):  
MJ Mahmoodabadi ◽  
A Bagheri ◽  
R Abedzadeh Maafi ◽  
GR Hoseini
Keyword(s):  
Optimal Design ◽  
Optimization Algorithm ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Optimal Design

Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system

Energy ◽  
2016 ◽  
Vol 115 ◽  
pp. 1022-1041 ◽  
Author(s):  
H.R. Baghaee ◽  
M. Mirsalim ◽  
G.B. Gharehpetian ◽  
H.A. Talebi
Keyword(s):  
Optimal Design ◽  
Pareto Optimal ◽  
Multi Objective ◽  
Pareto Optimal Design

scholarly journals EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm

2021 ◽  
Vol 11 (9) ◽  
pp. 3958
Author(s):  
Adrian Bekasiewicz ◽  
Slawomir Koziel ◽  
Piotr Plotka ◽  
Krzysztof Zwolski
Keyword(s):  
Optimal Design ◽  
Trust Region ◽  
Automatic Generation ◽  
Population Based ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Trade Off ◽  
Trust Region Algorithm ◽  
Multi Objective ◽  
Optimization Routine

Antenna structures for modern applications are characterized by complex and unintuitive topologies that are difficult to develop when conventional, experience-driven techniques are of use. In this work, a method for the automatic generation of antenna geometries in a multi-objective setup has been proposed. The approach involves optimization of a generic spline-based radiator with an adjustable number of parameters using a nested, trust region-based algorithm. The latter iteratively increases the dimensionality of the radiator in order to gradually improve its performance. The method has been used to generate a set of nine antenna designs, representing a trade-off between minimization of reflection within 3.1 GHz to 10.6 GHz and a reduction of size. The properties of the optimized designs vary along the Pareto set from −10 dB to −20 dB and from 230 mm2 to 757 mm2 for the first and second objectives, respectively. The presented design approach has been validated against a genuine, population-based optimization routine. Furthermore, the smallest Pareto-optimal design has been compared to the antennas from the literature.

Multi-Objective Optimization Algorithm for Instrument Integrated Development

2010 ◽  
Vol 44-47 ◽  
pp. 3487-3491
Author(s):  
Guo Xin Wu ◽  
Xiao Li Xu
Keyword(s):  
Optimal Design ◽  
Optimization Algorithm ◽  
Collaborative Design ◽  
Optimal Solution ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Integrated Development ◽  
Multi Objective ◽  
Individual Fitness ◽  
The Individual

The integrated technology is the main way for the instrument development. The combination of networked collaborative design and multi-objective optimization method, considering the different product design and development of individual fitness degree, to provide the best integrated development for the product solution. The system of Flexible integrated knowledge management was built for networked collaborative design. The system architecture is flexible hub, to support the collaborative development of decision-making and optimal design of innovative integrated development. Innovative multi-objective optimization algorithm also was established based on networked collaborative design. It is realized to obtain fast convergence of the optimal solution set for Knowledge groups. The individual goals, to achieve the optimal design of integrated development, were achieved.

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