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2013
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An Efficient Genetic Algorithm for Two-stage Hybrid Flow Shop Scheduling with Preemption and Sequence Dependent Setup Time
An Efficient Genetic Algorithm for Two-stage Hybrid Flow Shop Scheduling with Preemption and Sequence Dependent Setup Time
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en
In This paper a two stages Hybrid Flow Shop (HFS) problem with sequence dependent set up times is considered in which the preemption is also allowed. The objective is to minimize the weighted sum of completion time and maximum tardiness. Since this problem is categorized as an NP-hard one, meta-heuristic algorithms can be utilized to obtain high quality solutions in a reasonable amount of time. In this paper a Genetic algorithm (GA) approach is used and for parameter tuning the Response Surface Method (RSM) is applied to increase the performance of the algorithm. Computational results show the high performance of the proposed algorithm to solve the generated problems.
251
259
Hany
Seidgar
Mehrdad
Ezzati
Morteza
Kiani
Reza
Tavakkoli-moghaddam
Hybrid Flow Shop scheduling
Sequence dependent set up times
preemption.
Article.1.pdf
[
[1]
R. Ruiz, J. A. Rodriguez , The hybrid flow shop scheduling problem, European Journal of Operational Research, 205 (2010), 1-18
##[2]
R. Tavakkoli-Moghaddam, F. Taheri, M. Bazzazi, M. Izadi, F. Sassani, Design of a genetic algorithm for bi-objective unrelated parallel machines scheduling with sequence-dependent setup times and precedence constraints, Computers & Operations Research, 36 (2009), 3224-3230
##[3]
S. M. R. Iravani, C. P. Teo, Asymptotically optimal schedules for single-server flow shop problems with setup costs and times, Operations Research, Letters, 33 (2005), 421-430
##[4]
J. Jungwattanakita, M. Reodechaa, P. Chaovalitwongsea, F. Werner, A comparison of scheduling algorithms for flexible flow shop problems with unrelated parallel machines, setup times and dual criteria, Computers & Operations Research, 36 (2009), 358-378
##[5]
O. Engin, G. Ceran, M. K. Yilmaz, An efficient genetic algorithm for hybrid flow shop scheduling with multiprocessor task problems, Applied Soft Computing, 11 (2011), 3056-3065
##[6]
E. Shokrollahpour, M. Zandieh, B. Dorri , A novel imperialist competitive algorithm for bi-criteria scheduling of the assembly flowshop problem, International Journal of Production Research, (2010), 1-17
##[7]
D. C. Montgomery, Response Surface Methodology, 2nd ed., John Wiley and Sons, New York (2002)
##[8]
Valtair Antonio Ferraresi , Comparison between genetic algorithms and Response Surface methodolog in GMAW Welding optimization, Journal of Material Process Technology, (2005)
]
Designing an Optimal Pid Controller for Control the Plans Height, Based on Control of Autopilot by Using Evolutionary Algorithms
Designing an Optimal Pid Controller for Control the Plans Height, Based on Control of Autopilot by Using Evolutionary Algorithms
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en
The dangers of poor pilot performance as well as time and place conditions, and such as low altitude and climate, damage critical aircraft control system. Mentioned factors, caused damage in control of sensitive military and research aircraft. So researchers had to find a solution for this problem. Therefore, the use of Unmanned Aircraft Vehicle or (UAV) in sensitive and important Operation is required. Furthermore, designing the controller system is one of the main discussed Dynamic issues in Flying Objects. Here, has been attempted to determine the optimal coefficients of PID1 controller in Autopilot based on Optimization Algorithm such as Evolutionary Algorithms in order to regulate and desired control on height of an Unmanned Aircraft Vehicle (UAV). The proposed Cost Function simultaneously optimized the system performance specifications. Optimization done by using Evolutionary Algorithms such as \(GA^2\), \(PSO^3\) and Social Policy Optimization Algorithm or \(ICA^4\). Finally, the system response based on Evolutionary Algorithms compared with the advantages of Classic method Optimization based on Constraints design, then you can easily decide on the superiority and being optimized of the proposed system.
260
271
Mohammad
Fiuzy
Javad
Haddadnia
Seyed Kamaleddin Mousavi
Mashhadi
Unmanned Aircraft Vehicle (UAV)
Autopilots
Height Control
Controller
Evolutionary
Biological and Social Optimization.
Article.2.pdf
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R. Rajabioun, E. Atashpaz, C. Lucas, Colonial Competitive Algorithm as a Tool for Nash Equilibrium Point Achievement, Journal of Lecture Notes In Computer Science, 5 (2008), 680-695
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B. Oskouyi, E. Atashpaz-Gargari, N. Soltani, C. Lucas, Application of Imperialist Competitive Algorithm for Materials Property Characterization from Sharp Indentation Test , International Journal of Engineering Simulation, Vol 8, No 4 (2009)
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M. Kohansal, M. J. Sanjari, G. B. Gharehpetian, A novel approach to frequency control in an islanded microgrid by load shedding scheduling, Proceedings of the International Conference on Renewable Energies and Power Quality (ICREPQ'13), Madrid, (2013), 454-460
]
Introduction of a Method to Diabetes Diagnosis According to Optimum Rules in Fuzzy Systems Based on Combination of Data Mining Algorithm (d-t), Evolutionary Algorithms (aco) and Artificial Neural Networks (nn)
Introduction of a Method to Diabetes Diagnosis According to Optimum Rules in Fuzzy Systems Based on Combination of Data Mining Algorithm (d-t), Evolutionary Algorithms (aco) and Artificial Neural Networks (nn)
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en
In time diagnosis of diabetes significantly reduces damages and inconveniences of this disease in society. It may be said that one of the most important problems of diagnosis methods of this disease, particularly in early phases, is not to pay attention to proper features in order to diagnose the disease and as a result weakness in disease diagnosis. This research endeavors to introduce a new method for accurate diagnosis of this disease through usage of a combination of artificial intelligent methods such as fuzzy systems for immediate and accurate decision making, Evolutionary Algorithms (ACO1) for choosing best rules in fuzzy systems, and artificial neural networks for modeling, structure identification, and parameter identification. The proposed system relying on features of database in the form of combination and interaction succeeded in reaching an accuracy of 95.852% which in comparison to current methods on the one hand and to artificial methods in foresaid references on the other hand, has a proper and very faster performance than other intelligent methods and you can see its accuracy and excellence as an intelligent system.
272
285
Mohammad
Fiuzy
Azam
Qarehkhani
Javad
Haddadnia
Javad
Vahidi
Hadi
Varharam
Diabetes
Diagnosis
Optimal Rule
Fuzzy Systems
Data Mining
Artificial Processing
Article.3.pdf
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M. R. NaiemAbadi, N. A. A Chamachar, E. Tahami, H. Rabbani , Diabet Diagnosis By SVM , Proceeding of the 14th Iranian student Conference on Electrical Engineering, September 6-8; Kermanshah, Iran., (2011), -
##[4]
American Diabetes Association , Diabetes Basics, www.diabetes.org/diabetes-basics , (2011)
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J. Siti Fahanah Bt, A. Darmawaty Mohd, Diabetes Mellitus Forecast using artificial neural network (ANN), Life Science Journal, 10 (2005), 1025-1031
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S. E. Thami, M. A. Khalil Zade, Intelligent Diabet Diagnosis by Artificial neural Network, Proceeding of the 12 th Iranian Society for Biomedical Engineering (ISBME), (2005) Nov 16-18; Sahand University of Thecnology, Iran (2005)
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A. Qarehkhani, M. Fiuzy, J. Haddadnia, A Anovel For Diabet Diagnosis based on Combining Intelligent System such as Fuzzy System, Decission Tree, Adaptive Neuro Fuzzy System. Proceedings of the 4th Conference on Information & Knowledge Technology (IKT), Babaol, Iran (2012)
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]
Optimization of Solar Cooling Systems with Simulation Modeling
Optimization of Solar Cooling Systems with Simulation Modeling
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en
Rising energy costs and environmental problems, also the limited resources of fossil fuels, have forced
humans to use renewable energy. One of the systems that are commonly used is the cooling system, by
means of solar energy. Since these models have a wide variety of effective variables, such as the
temperature, latitude, the length of the day, also due to the nonlinear relationship between the variables,
conventional modeling methods are inefficient. Therefore regarding to the extensive capabilities of
simulation models in modeling a wide range of variables with complex and nonlinear relationship, in this
study with the approach of simulating solar systems, an effective survey in the field of economic and
efficiency of such systems, is presented.
286
291
Hamid Reza
Feili
Fatemeh
Moghadasi
Parisa
Naderipour
Solar Energy
Simulation-Optimization
Solar Cooling Systems
Feasibility Study
Arena Software
Article.4.pdf
[
[1]
H. Vidal, R. Escobar, S. Colle, Simulation and Optimization of a Solar Driven Air Conditioning System for a House in Chile, Proceeding of the ISES Solar World Congress: Renewable Energy Shaping Our Future, (2009)
##[2]
A. Abedi, Utilization of solar air collectors for heating of Isfahan buildings in IRAN, 2nd International Conference on Advances in Energy Engineering (ICAEE2011), (2011)
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R. Kharchi, B. Benyoucef, Y. Bartosievicz,Jm. Seynhave, A. Hemidi, The effect of solar heating gain on energetic thermal consumption of housing, Procedia of Engineering, 33 (2012), 485-49
##[4]
K. F. Fong, T. T. Chow, Z. Lin, L. S. Chan, Construction Guidelines for Solar Cooling Feasibility Studies and Analysis of the Feasibility Studies, Applied Thermal Engineering, 30 (2010), 220-228
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Climasol, Construction guidelines for solar cooling feasibility studies and analysis of the feasibility studies, ALTENER Project No. 4.1030/Z/02-121/20 , (2005)
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A. Falahatkar, H. R. Akhavan Armaki, Solar absorption chiller system design in Tehran and the investigating performance of this system compared with conventional Chillers, Iran Energy Journal, Vol. 14, No.1 (2011)
##[7]
M. Dehghani, M. Arabi, Technical and Economic Evaluation of Solar Absorption Chiller Systems in Iran, Iranian Chemical Engineering Journal, Vol. 9, No.46 (2010)
##[8]
H. R. Feili, P. Naderipour, F. Moghadasi, Approach of Using Solar Energy in order to Move towards the Construction of Green Buildings, Iran Building Energy Conference , (2011)
##[9]
R. Peyman, Introducing the performance of absorption chiller and smart solar panels in the building industry, 11th Conference of Civil students across the country, (2004)
]
Bps Operational Matrices for Solving Time Varying Fractional Optimal Control Problems
Bps Operational Matrices for Solving Time Varying Fractional Optimal Control Problems
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en
In this paper, we present a method for solving time varying fractional optimal control problems by Bernstein polynomials. Firstly, we derive the Bernstein polynomials (BPs) operational matrix for the fractional derivative in the Caputo sense, which has not been undertaken before. This method reduces the problems to a system of algebraic equations. The results obtained are in good agreement with the existing ones in open literatures and the solutions approach to classical solutions as the order of the fractional derivatives approach to 1.
292
304
Mohsen
Alipour
Davood
Rostamy
Time varying fractional optimal control problems
Bernstein polynomials
operational matrix
Caputo derivative.
Article.5.pdf
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[1]
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]
The Randers \(\beta\)-change of More Generalized M-th Root Metrics
The Randers \(\beta\)-change of More Generalized M-th Root Metrics
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en
A change of Finsler metric \(F(x,y)\rightarrow \bar{F}(x,y)\) is called a Randers \(\beta\)-change of \(F\), if \(\bar{F}(x,y) = F(x,y) + \beta(x,y)\), where \(\beta(x,y)=b_i(x)y^i\) is a one-form on a smooth manifold \(M\). The purpose of the present paper is devoted to studying the conditions for more generalized m-th root metrics \(\tilde{F}_1= \sqrt{A_1^{\frac{2}{m_1}}+B_1+C_1}\) and \(\tilde{F}_1= \sqrt{A_2^{\frac{2}{m_2}}+B_2+C_2}\), when is established Randers \(\beta\)-change.
305
310
Abolfazl
Taleshian
Dordi Mohamad
Saghali
m-th root metric
more generalized m-th root metric
Randers \(\beta\)-change.
Article.6.pdf
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##[5]
A. Srivastava, P. Arora, Kropina change of mth root metric and its conformal transformation Bull, of Calcutta Mathematical Society, 103(3) (2011)
]
Spectrum Preserving Linear Map on Liminal \(C^*\)-algebras
Spectrum Preserving Linear Map on Liminal \(C^*\)-algebras
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en
Let \(A\) and \(B\) be unital semi-simple Banach algebras. If \(B\) is a liminal \(C^*\)-algebra and \(\varphi\) is a surjective
spectrum preserving linear mapping from \(A\) to \(B\), then \(\varphi\) is a Jordan homomorphism.
311
314
F.
Golfarshchi
A. A.
Khalilzadeh
Semi-simple
liminal \(C^*\)-algebra
Spectrum preserving
Jordan homomorphism.
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]
Jswa an Improved Algorithm for Grid Workflow Scheduling Using Ant Colony Optimization
Jswa an Improved Algorithm for Grid Workflow Scheduling Using Ant Colony Optimization
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en
In this paper we propose an improved algorithm for scheduling grid workflow by using ant colony optimization method. Ant colony optimization (ACO) is a meta-heuristic for combinatorial optimization problems. JSWA algorithm is measured by using parameters such as reliability, cost, request and acknowledgement time and bandwidth. Regarding the proposed algorithm and its comparison with scheduling algorithm, we have established a new competency through which the tasks are carried out by considering preference criterion parameters. To do so, there should be less time complexities in accessing tasks for the present algorithms compared with the proposed one. By implementing a technical method we could consider a system in which the efficiency and optimization are increased and finally the time needed for program performance is decreased by using the target function. Also we could estimate the real time of tasks' commute by calculating the commute time compared with the previous algorithms. The result is that JSWA is more efficient than the algorithms such as ACS and MOACO.
315
331
Emetis
Niazmand
Javad
Bayrampoor
Arash Ghorbannia
Delavar
Ali Reza Khalili
Boroujeni
Grid Workflow Scheduling
Ant Colony Optimization
Meta-heuristic
JSWA.
Article.8.pdf
[
[1]
Wei-Neng Chen, Jun Zhang, An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 39, NO. 1, JANUARY (2009)
##[2]
Arash Ghorbannia Delavar, Ali Reza Kalili Boroujeni, Javad Bayrampoor, BPISG: A Batching Heuristic Scheduling Algorithm With Taking Index Parameters for Mapping Independent Tasks on Heterogeneous Computing Environment, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 1, November (2011)
##[3]
Manuel lopez-ibanez, Thomas stuetzle, An Analysis of Algorithmic Components for Multi objective Ant Colony Optimization, A Case Study on the Biobjective TSP, June (2009)
##[4]
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