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Solving Simulation Optimization Problems Using Artificial Bee Colony and Ranking and Selection Methods
, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Taghi (Supervisor)
Abstract
In this thesis the simulation optimization problems are solved by using Artificial Bee Colony (ABC). The main objective is to improve and adapt the ABC algorithm for solving the optimization problems in deterministic and stochastic environments. For solving deterministic problems, directed search in neighborhood and Nelder-Mead algorithm are combined with ABC algorithm to improve the convergence rate and solutions. Moreover; in stochastic environment, hypothesis test and Kim-Nelson (KN) indifference zone ranking and selection procedure are helping bees to produce solutions with better confidence level on the quality of the solution. Results of optimizing an extensive complex benchmark...
A New Colony Scheduling Approach in Computational Grid to Improve QoS
, M.Sc. Thesis Sharif University of Technology ; Movaghar Rahimabadi, Ali (Supervisor)
Abstract
The efficient scheduling of independent and sequential tasks on distributed and heterogeneous computing resources within grid computing environments is an NP-complete problem. Therefore, using heuristic approaches to solve the scheduling problem is a very common and also acceptable method in these environments. In this thesis, a new task scheduling algorithm based on bee colony optimization approach is proposed. The algorithm uses artificial bees to appropriately schedule the submitted tasks to the grid resources. Applying the proposed algorithm to the grid computing environments, the maximum delay and finish times of the tasks are reduced.Furthermore, the total makespan of the environment...
Hybrid Approach for Spectrum Allocation in Cognitive Radio Networks
, M.Sc. Thesis Sharif University of Technology ; Hemmatyar, Ali Mohammad Afshin (Supervisor) ; Movaghar, Ali (Co-Advisor)
Abstract
In recent years, demand for frequency spectrum has increased rapidly. Cognitive radio technology, as a tool for better access to the frequency spectrum, opportunistically uses the bandwidth of a licensed frequency band to solve the problem of congestion in unlicensed frequency bands. The spectrum allocation is one of the first steps in the implementation of cognitive radio networks. Many studies have been done to solve the problem of optimal spectrum allocation in such networks. One of the most commonly used methods to solve the optimization problem is using meta-heuristic algorithms. Harmony search and artificial bee colony algorithms are two of the most successful methods for this purpose....
A Modified Artificial bee Colony Algorithm for Channel Assignment in Wireless Mesh Network
, M.Sc. Thesis Sharif University of Technology ; Mahdavi Amiri, Nezamoddin (Supervisor)
Abstract
Wireless Mesh Network (WMN) is a new technology for developing wireless networks. In a wireless communication system, a transmitter communicates with a receiver by magnetic waves. Channel is the medium used to convey information from a sender to a receiver. Interference exists between two links if they are within interference range and are assigned to the same channel. Channel assignment is all about mapping available channels to the network interfaces in order to achieve optimal network performance. A good channel assignment algorithm minimizes the total network interference. Here, we propose a modified artificial bee colony (ABC) algorithm for the fixed channel assignment (FCA) problem in...
Optimization of Machining Features Determination in Prismatic Parts Process Planning by Applying Heuristic Models: Flower Pollinating by Artificial Bees(FPAB( and Modified Combination Model(MCM)
,
Ph.D. Dissertation
Sharif University of Technology
;
Houshmand, Mahmood
(Supervisor)
;
Akhavan Niaki, Taghi
(Co-Advisor)
Abstract
Manufacturing environments has changed in recent decades. Today’s it has specification such as shorten life cycle of products, decrease new product design and manufacturing cycle, increase flexibility, decrease response time for market demands and increase competitive level among manufacturers. For achieve this specification integration of CAD, CAPP and CAM is essential. Process planning is important in manufacturing systems so that down stream activity costs and optimality depends on process plans. To develop a process plan for a prismatic part it is required to interpret part design data; select manufacturing processes; select machines, tools and fixtures; decompose the material volume to...
Investigation and Improvement of Flux Balance Analysis Using Bee Colony Algorithm
, M.Sc. Thesis Sharif University of Technology ; Farhadi, Fathollah (Supervisor) ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
For the simulation of microbial systems, constraint-based models have been proposed. The most famous constraint-based model is the flux balance analysis, in which to apply extra-molecular effects into the system, the dynamism of the problem is also introduced to generate the dynamic flux balance analysis. In this thesis, the bee colony optimization algorithm is used as an optimization engine. To increase the simulation accuracy and obtain more accurate solutions, this method was further developed and tested with thirteen benchmark functions. Better results were obtained compared to other proposed algorithms. Then the proposed algorithm was developed with four methods for constrained...
Geometrical optimization of the overlap in mixed adhesive lap joints
, Article Journal of Adhesion ; Volume 89, Issue 12 , 2013 , Pages 948-972 ; 00218464 (ISSN) ; Bavi, N ; Shishesaz, M ; Sharif University of Technology
2013
Abstract
The aim of this research is to optimize the geometry of the overlap in mixed adhesive single-and double-lap joints using a modified version of Bees and Genetic Algorithms (BA and GA). Accounting for adherends Poisson's ratio in the deduced equilibrium equations, the proposed shear lag model gives a more accurate approximation of joint failure load in comparison with Volkersen's solution. The objective functions used in this work are used separately to maximize the load bearing capacity f and the specific strength (f/w) of the joint. This procedure is applied to optimize aeronautical adhesively bonded assemblies, while taking manufacturing constraints into account. The employed constraints...
Joint single vendor-single buyer supply chain problem with stochastic demand and fuzzy lead-time
, Article Knowledge-Based Systems ; Volume 48 , 2013 , Pages 1-9 ; 09507051 (ISSN) ; Niaki, S. T .A ; Wee, H. M ; Sharif University of Technology
2013
Abstract
This study solves a chance-constraint supply chain problem with stochastic demand which follows a uniform distribution. Fuzzy delay times (moving, waiting and setup time) are assumed to be lot size dependent and shortage is partially backordered. The buyer is responsible for the costs incurred in ordering, holding, shortage and transportation, while the vendor is responsible for setup and holding costs. The service rate of each product has a chance constraint and the buyer has a budget constraint. Our objective is to determine the re-order point and the order quantity of the products such that the total cost is minimized. Since the problem is uncertain integer-nonlinear, two hybrid...
Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem
, Article Electric Power Systems Research ; Volume 95 , 2013 , Pages 206-213 ; 03787796 (ISSN) ; Hosseinian, S. H ; Ghazanfari, A ; Sharif University of Technology
2013
Abstract
This paper presents a fuzzy based modified artificial bee colony (MABC) algorithm to solve discrete optimal power flow (OPF) problem that has both discrete and continuous variables considering valve point effects. The OPF problem is formulated as a multi-objective mixed-integer nonlinear problem, where optimal settings of the OPF control variables for simultaneous minimization of total fuel cost of thermal units, total emission, total real power losses, and voltage deviation are obtained. The proposed approach is applied to the OPF problem on IEEE 30-bus and IEEE 118-bus test systems. The performance and operation of the proposed approach is compared with the conventional methods. The...
A dynamic fuzzy interactive approach for DG expansion planning
, Article International Journal of Electrical Power and Energy Systems ; Volume 43, Issue 1 , 2012 , Pages 1094-1105 ; 01420615 (ISSN) ; Ehsan, M ; Fattahi Meyabadi, A ; Sharif University of Technology
2012
Abstract
This paper presents a dynamic multi objective model for distribution network expansion, considering the distributed generators (DGs) and network reinforcements. The proposed model simultaneously optimizes three objective functions namely, total cost, emission cost and technical satisfaction (voltage profile) by finding the optimal schemes of timing, sizing, placement and DG technologies in a long term planning period (dynamic planning). The importance of each objective function can be changed in the interactive steps. The calculation algorithm is based on Chaotic Local Search with Modified Honey Bee Mating Optimization (CLSMHBMO). The effectiveness of the proposed model and the calculation...
An interactive fuzzy multi-objective approach for short term DG planning
, Article International Journal of Innovative Computing, Information and Control ; Volume 8, Issue 6 , 2012 , Pages 4157-4175 ; 13494198 (ISSN) ; Ehsan, M ; Meyabadi, A. F ; Niknam, T ; Sharif University of Technology
2012
Abstract
This paper presents a short term multi-objective planning model for Distributed Generators (DGs) deployment in an electrical network. "Total Cost" and "Emission Cost" are two objective functions which have been going to be minimized in this model by finding the optimal schemes of sizing, placement and DG technologies over a short planning period (static planning). The proposed model can be used for a long term planning period (dynamic planning) in order to consider the timing concept. An interactive fuzzy satisfying method based on Chaotic Local Search and Modified Honey Bee Mating Optimization (CLS-MHBMO) is used to choose the final solution. The effectiveness of the proposed model and...
A bee colony task scheduling algorithm in computational grids
, Article Communications in Computer and Information Science, 7 July 2011 through 9 July 2011 ; Volume 188 CCIS, Issue PART 1 , July , 2011 , Pages 200-210 ; 18650929 (ISSN) ; 9783642223884 (ISBN) ; Entezari Maleki, R ; Movaghar, A ; Springer ; Sharif University of Technology
2011
Abstract
The efficient scheduling of the independent and sequential tasks on distributed and heterogeneous computing resources within grid computing environments is an NP-complete problem. Therefore, using heuristic approaches to solve the scheduling problem is a very common and also acceptable method in these environments. In this paper, a new task scheduling algorithm based on bee colony optimization approach is proposed. The algorithm uses artificial bees to appropriately schedule the submitted tasks to the grid resources. Applying the proposed algorithm to the grid computing environments, the maximum delay and finish times of the tasks are reduced. Furthermore, the total makespan of the...
Queen-bee algorithm for energy efficient clusters in wireless sensor networks
, Article World Academy of Science, Engineering and Technology ; Volume 73 , 2011 , Pages 1080-1083 ; 2010376X (ISSN) ; Barati, A ; Movaghar, A ; Sharif University of Technology
Abstract
Wireless sensor networks include small nodes which have sensing ability; calculation and connection extend themselves everywhere soon. Such networks have source limitation on connection, calculation and energy consumption. So, since the nodes have limited energy in sensor networks, the optimized energy consumption in these networks is of more importance and has created many challenges. The previous works have shown that by organizing the network nodes in a number of clusters, the energy consumption could be reduced considerably. So the lifetime of the network would be increased. In this paper, we used the Queen-bee algorithm to create energy efficient clusters in wireless sensor networks....
Evolutionary algorithms for the optimal management of coastal groundwater: A comparative study toward future challenges
, Article Journal of Hydrology ; Volume 520 , January , 2015 , Pages 193-213 ; 00221694 (ISSN) ; Ataie Ashtiani, B ; Sharif University of Technology
Elsevier
2015
Abstract
This paper surveys the literature associated with the application of evolutionary algorithms (EAs) in coastal groundwater management problems (CGMPs). This review demonstrates that previous studies were mostly relied on the application of limited and particular EAs, mainly genetic algorithm (GA) and its variants, to a number of specific problems. The exclusive investigation of these problems is often not the representation of the variety of feasible processes may be occurred in coastal aquifers. In this study, eight EAs are evaluated for CGMPs. The considered EAs are: GA, continuous ant colony optimization (CACO), particle swarm optimization (PSO), differential evolution (DE), artificial bee...
Swarm intelligent compressive routing in wireless sensor networks
, Article Computational Intelligence ; Volume 31, Issue 3 , 2015 , Pages 513-531 ; 08247935 (ISSN) ; Sarrafzadeh, A ; Mehrjoo, M ; Sharif University of Technology
Blackwell Publishing Inc
2015
Abstract
This article proposes a novel algorithm to improve the lifetime of a wireless sensor network. This algorithm employs swarm intelligence algorithms in conjunction with compressive sensing theory to build up the routing trees and to decrease the communication rate. The main contribution of this article is to extend swarm intelligence algorithms to build a routing tree in such a way that it can be utilized to maximize efficiency, thereby rectifying the delay problem of compressive sensing theory and improving the network lifetime. In addition, our approach offers accurate data recovery from small amounts of compressed data. Simulation results show that our approach can effectively extend the...
Reload purified Melittin and Lactoferrin on Perfluorooctyl Bromide nanoparticles (PFOB-NPs) and examine the distribution of particle size, zeta potential and confirmation of their accession on the nanoparticles via tryptophan fluorescence and circular dichroism (CD) and its anti-cancer effects on human breast cancer cell line MCF7
, Article Oriental Journal of Chemistry ; Volume 32, Issue 6 , 2016 , Pages 3099-3111 ; 0970020X (ISSN) ; Zibaei, S ; Ardjmand, M ; Safekordi, A. A ; Sharif University of Technology
Oriental Scientific Publishing Company
2016
Abstract
Acording to the prevalence of cancer in today's societies, it is too important to find new drugs for that treatment. Cationic antimicrobial peptides that are able to eliminate a wide range of bacteria, fungi, parasites, viruses and unicellular, are natural anti-cancer agents. In the present study, the effect of cationic peptides of bee venom Melittin (ML) and Lactoferrin (LF) of camel milk which was loaded on the Perfluorooctyl Bromide (PFOB) nanoparticles, were examined on MCF7 cells. Nanoparticles using oil in water emulsion was prepared by ultra-thoracic and ultrasonic. Then ML and LF were separately added to the nanoparticles then incorporation of them were confirmed by tryptophan...
Applying portfolio theory-based modified ABC to electricity generation mix
, Article International Journal of Electrical Power and Energy Systems ; Volume 80 , 2016 , Pages 356-362 ; 01420615 (ISSN) ; Mozafari, B ; Ranjbar, A. M ; Soleymani, S ; Sharif University of Technology
Elsevier Ltd
2016
Abstract
Portfolio theory has found its model in numerous engineering applications for optimizing the electrical generation mix of an electricity area. However, to have better performance of this theory, this paper presents a new heuristic method as known modified artificial bee colony (MABC) to portfolio optimization problem. Moreover, we consider both dis-patchable and non-dis-patchable constrains variables and energy sources. Note that the proposed MABC method uses a Chaotic Local Search (CLS) to enhance the self searching ability of the original ABC algorithm. Resulting, in this paper a portfolio theory-based MABC model that explicitly distinguishes between electricity generation (energy),...
Evaluating the capability of distribution networks to maintain power quality and voltage level, case study: alborz electric power distribution company
, Article IET Generation, Transmission and Distribution ; Volume 12, Issue 16 , 2018 , Pages 3883-3891 ; 17518687 (ISSN) ; Rezaie, K ; Fotuhi Firuzabad, M ; Sharif University of Technology
Abstract
Distribution system operators that seek operational excellence are supposed to design and implement capable processes throughout their value stream and assess how well their real services match the design specifications. Process capability analysis is a critical stage in systematic and sophisticated quality engineering approaches such as six sigma, which are based on quantitative studies. The capability of a distribution network to maintain the power quality and voltage level within an acceptable range is one of the most important aspects of design and utilisation of electricity distribution network. Capability analysis has been successfully used in the previous studies to assess the quality...
Performance analysis and multi-objective optimization of an organic Rankine cycle with binary zeotropic working fluid employing modified artificial bee colony algorithm
, Article Journal of Thermal Analysis and Calorimetry ; 2018 ; 13886150 (ISSN) ; Maghsoudi, P ; Shabani, B ; Gorgani, H. H ; Shabani, N ; Sharif University of Technology
Springer Netherlands
2018
Abstract
From a thermal point of view, zeotropic mixtures are likely to be more efficient than azeotropic fluids in low-temperature power cycles for reduction in exergy destruction occurring during heat absorption/rejection processes due to their suitable boiling characteristics. In this study, comprehensive energetic and exergetic analyses are mathematically performed for an organic Rankine cycle (ORC) system employing a potential binary zeotropic working fluid, namely R717/water. For this purpose, initially mass, energy, and exergy balance equations are derived. With regard to the similarity in molar mass of R717 (17.03 g mol−1) and water (18.01 g mol−1), there is no need to alter the size of the...
Photovoltaic parameter estimation using heuristic optimization
, Article 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation ; Volume 2018-January , 2018 , Pages 0792-0797 ; 9781538626405 (ISBN) ; Karimi Arpanahi, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Photovoltaic (PV) panel accurate modeling is essential for operational studies and generation estimation under actual conditions and power electronic control device designs in grid connected or isolated power systems. Inaccuracy in modeling parameters such as photon's current, diode's saturation current, series and parallel resistances and diodes ideality coefficients causes errors in modeling and simulating photovoltaic panel's operation. In this paper, photovoltaic panel's parameters are estimated according to characteristic curves obtained from experiments. Heuristic optimization methods are utilized to calculate parameters for both singlediode and double-diode models. Results indicate...