Optimization of parabolic through collector (PTC) with multi objective swarm optimization (MOPSO) and energy, exergy and economic analyses
The availability of reliable electricity and heat sources for community guarantees a better
living environment in terms of education, healthcare and economy. Two main parameters …
living environment in terms of education, healthcare and economy. Two main parameters …
A new well-pattern-optimization procedure for large-scale field development
JEE Onwunalu, LJJ Durlofsky - SPE journal, 2011 - onepetro.org
The optimization of large-scale multiwell field-development projects is challenging because
the number of optimization variables and the size of the search space can become …
the number of optimization variables and the size of the search space can become …
Particle swarm optimization-based ensemble learning for software change prediction
R Malhotra, M Khanna - Information and Software Technology, 2018 - Elsevier
Context Various researchers have successfully established the association between Object-
Oriented metrics and change prone nature of a class. However, they actively continue to …
Oriented metrics and change prone nature of a class. However, they actively continue to …
[图书][B] Optimization of field development using particle swarm optimization and new well pattern descriptions
JE Onwunalu - 2010 - search.proquest.com
The optimization of the type and location of new wells is an important issue in oil field
development. Computational algorithms are often employed for this task. The problem is …
development. Computational algorithms are often employed for this task. The problem is …
Development and application of a new well pattern optimization algorithm for optimizing large-scale field development
JE Onwunalu, LJ Durlofsky - SPE Annual Technical Conference and …, 2009 - onepetro.org
The optimization of large-scale field development is challenging because the number of
optimization variables can become excessive. A way to circumvent this difficulty is to …
optimization variables can become excessive. A way to circumvent this difficulty is to …
Dynamic selection of fitness function for software change prediction using particle swarm optimization
R Malhotra, M Khanna - Information and Software Technology, 2019 - Elsevier
Context Over the past few years, researchers have been actively searching for an effective
classifier which correctly predicts change prone classes. Though, few researchers have …
classifier which correctly predicts change prone classes. Though, few researchers have …
Multi-objective hardware–software partitioning of embedded systems: A case study of JPEG encoder
PK Nath, D Datta - Applied Soft Computing, 2014 - Elsevier
Embedded systems have become integral parts of today's technology-based life, starting
from various home appliances to satellites. Such a wide range of applications encourages …
from various home appliances to satellites. Such a wide range of applications encourages …
Optimizing a new configuration of a proton exchange membrane fuel cell cycle with burner and reformer through a particle swarm optimization algorithm for residential …
M Yousefi, MA Ehyaei… - Journal of …, 2019 - asmedigitalcollection.asme.org
The energy, exergy, and economic aspects are analyzed of a cycle consisting of a polymer
fuel cell, a burner, a reformer, and a heat exchanger. Water is used for cooling the fuel cell …
fuel cell, a burner, a reformer, and a heat exchanger. Water is used for cooling the fuel cell …
GWOMF: Grey Wolf Optimization for motif finding
F Hashim, MS Mabrouk… - 2017 13th international …, 2017 - ieeexplore.ieee.org
The DNA motif discovery is an important step to study gene function. A DNA motif refers to a
short similar repeated pattern of nucleotides that has biological meaning. In this paper, a bio …
short similar repeated pattern of nucleotides that has biological meaning. In this paper, a bio …
Particle swarm optimization applied in power system measurement-based load modeling
L Rodriguez-Garcia, S Perez-Londono… - 2013 IEEE Congress …, 2013 - ieeexplore.ieee.org
An application of particle swarm optimization algorithm for power system measurement-
based load modeling is presented in this paper. Load modeling based on measurements is …
based load modeling is presented in this paper. Load modeling based on measurements is …