نتایج جستجو برای: nsga іі

تعداد نتایج: 2358  

Journal: :Klinicheskaia khirurgiia 2022

Objective.To determine the expediency of spleen–preserving operations performance for its injury due to gun–shot thoraco–abdominal and abdominal woundings.
 Materials methods. Of 51wounded persons with penetrating woundings splenic injuries 8 (15.7%) were operated on II level medical help delivery, while ІІІ – 43 (84.3%). wounded persons, in 35 (81.4%) splenectomy was performed, (18.6%) or...

2003
Venkat Devireddy Patrick Reed

Many real world problems require careful balancing of fiscal, technical, and social objectives. Informed negotiation and balancing of objectives can be greatly aided through the use of evolutionary multiobjective optimization (EMO) algorithms, which can evolve entire tradeoff (or Pareto) surfaces within a single run. The primary difficulty in using these methods lies in the large number of para...

2010
Ilaria Bertini Matteo De Felice Fabio Moretti Stefano Pizzuti

In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a multiobjective approach considering different objectives for the optimisation in order to reduce the pollution emissions and to maximise the efficiency of the plant. We compare a multiobjective evolutionary algorithm (NSGA-II) ...

Journal: :Computers & Industrial Engineering 2013
Zhaoxia Guo Wai Keung Wong Zhi Li Peiyu Ren

This paper addresses a multi-objective order scheduling problem in production planning under a complicated production environment with the consideration of multiple plants, multiple production departments and multiple production processes. A Pareto optimization model, combining a NSGA-II-based optimization process with an effective production process simulator, is developed to handle this probl...

2017
Maryam Ghasemi Ali Farzan

Planning and scheduling are as decision making processes which they have important roles in production systems and industries. According that, job shop scheduling is one of NPhard problems to solve multi-objective decision making approaches. So, the problem is known as uncertain with many variables in optimal solution view. Finding optimal solutions are essential task in scheduling of jobs betw...

2008
Chenguang Yang Jie Chen Xuyan Tu Hussein A. Abbass Omid Bozorg Haddad Hyeong Soo Chang

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimizati...

2010
S. K. Goudos K. Siakavara E. E. Vafiadis J. N. Sahalos

Antenna design problems often require the optimization of several conflicting objectives such as gain maximization, sidelobe level (SLL) reduction and input impedance matching. Multiobjective Evolutionary Algorithms (MOEAs) are suitable optimization techniques for solving such problems. An efficient algorithm is Generalized Differential Evolution (GDE3), which is a multi-objective extension of ...

2008
Gustavo Sánchez Minaya Villasana Miguel Strefezza

Two multi-objective genetic algorithms, an elitist version of MOGA and NSGA-II, were applied to solve two linear control design problems. The first was a H2 problem with a PI controller structure, for a first order stable plant. The second was a mixed H2/H4 control problem. In both cases, three indicators were used to evaluate each algorithm performance: Set coverage, spread and hypervolume. It...

2003
Xuan Jiang Deepti Chafekar Khaled Rasheed

In this paper we propose a novel approach for solving constrained multi-objective optimization problems using a steady state GA and reduced models. Our method called Objective Exchange Genetic Algorithm for Design optimization (OEGADO) is intended for solving real-world application problems that have many constraints and very small feasible regions. OEGADO runs several GAs concurrently with eac...

حسین‌پور, علیرضا , رئیسی, طاهره ,

The chemical conditions of the rhizosphere are known to considerably differ from those of the bulk soil, as a consequence of a range of processes that are induced either directly by the activity of plant roots or by the activity of rhizosphere microflora. Plant species have involved various adaptive strategies to acquire P from soil pools. Therefore, the objective of this research was to evalua...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید