نتایج جستجو برای: objective optimization

تعداد نتایج: 838672  

Journal: :iranian journal of oil & gas science and technology 2014
javid haddad reza mosayebi behbahani mohammadreza shishesaz

arguably, the natural gas transmission pipeline infrastructure in iran represents one of the largest andmost complex mechanical systems in the world. the optimization of large gas trunk lines known asigat results in reduced fuel consumption or higher capability and improves pipeline operation. in thecurrent study, a single-objective optimization was conducted for khormoj compressor station on t...

Journal: :journal of optimization in industrial engineering 2014
amir hossein niknamfar seyed hamid reza pasandideh

vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. this paper presents a bi-objective mathematical mod...

Journal: :Applied sciences 2022

Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective (MaOPs) are two classes of the optimization field that have potential applications in engineering. Modified Evolutionary Algorithms hybrid approaches seem to be suitable effectively deal with such problems. However, standard Crow Search Algorithm has not been considered for either DMOPs or MaOPs date. This paper proposes a...

Journal: :international journal of automotive engineering 0
salehpour islamic azad university, anzali branch, bandaranzali, iran. jamali faculty of mechanical engineering, the university of guilan, rasht, iran. nariman-zadeh faculty of mechanical engineering, the university of guilan, rasht, iran.

in this paper, multi-objective uniform-diversity genetic algorithm (muga) with a diversity preserving mechanism called the ε-elimination algorithm is used for pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. the important conflicting objective functions that have been considered in this work are, namely, vertical accel...

Journal: :تحقیقات مالی 0
مهسا رجبی دانشجوی دکتری برق ـ کنترل و سیستم، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران حمید خالوزاده استاد دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

Journal: :international journal of automotive engineering 0
h. shojaeefard m. etghani tahani akbari

in this study the performance and emissions characteristics of a heavy-duty, direct injection, compression ignition (ci) engine which is specialized in agriculture, have been investigated experimentally. for this aim, the influence of injection timing, load, engine speed on power, brake specific fuel consumption (bsfc), peak pressure (pp), nitrogen oxides (nox), carbon dioxide (co2), carbon mon...

Journal: :international journal of automotive engineering 0
a. khalkhali s. samareh mousavi

in order to reduce both the weight of vehicles and the damage of occupants in a crash event simultaneously, it is necessary to perform a multi-objective optimization of the automotive energy absorbing components. in this paper, axial impact crushing behavior of the aluminum foam-filled thin-walled tubes are studied by the finite element method using commercial software abaqus. comparison of the...

Journal: :journal of computer and robotics 0
seyed mahmood hashemi school of computer engineering, darolfonoon high educational institute, qazvin, iran

fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. in this research, fcm is chosen for fuzzy clustering. parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. these two parameters require tuning to reduce the overfitting in the...

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