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Evolutionary multi objective optimization in uncertain environments

Evolutionary multi objective optimization in uncertain environments

Evolutionary multi objective optimization in uncertain environments

... bioinformatics, logical circuit design, control engineering and resource allocation Interestingly, many researchers in the field of evolutionary multi- objective optimization assume that the optimization ... multi- objective evolutionary algorithms for multi- objective optimization in the presence of uncertainties This work is divided into three parts, which each part considering a different form of uncertainties: ... optimization problems are deterministic, and uncertainties are rarely examined While multi- objective evolutionary algorithms draw its inspiration from nature where uncertainty is a common phenomenon,...
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Evolutionary multi objective optimization in investment portfolio management

Evolutionary multi objective optimization in investment portfolio management

... [169, 170] being widely regarded as the real starting point in the field of continuous-time portfolio management Hybrid variants like multi- period portfolio management also exist where the investment ... returns from lagging the underlying index in the long run This subject will be discussed in further detail later in Chapter 1.3 Thesis Overview The central theme in investment portfolio management ... Besides these conflicting objectives, several constraints in accordance to the investment mandate and business/industrial regulations have to be considered, for example, maintaining specific exposure...
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Evolutionary multi objective optimization in scheduling problems

Evolutionary multi objective optimization in scheduling problems

... or more conflicting objectives This research investigates multi- objective optimization in scheduling problems 1.2.1 Multi- Objective Optimization in Scheduling Problems Scheduling can be regarded ... pioneering works on multi- objective optimization of each of the scheduling problems investigated One of the scheduling problems considered in this thesis is a two -objective exam timetabling problem ... the objectives of scheduling problems such that the number of soft constraint violations is required to be minimized As such, given that the objectives of scheduling problems include their original...
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Multi objective evolutionary optimization in uncertain environments

Multi objective evolutionary optimization in uncertain environments

... optimizers in both single and multi objective optimization problems In addition, basic principles of data mining, in particular frequent mining, which will be applied to the single and multi optimization ... effectiveness of the optimization process Keeping this in mind, this work investigates the multi objective optimization in uncertainties both in academic benchmarks problems and in real life problems ... Chapter 3 Introduction of Data Mining in Single Objective Evolutionary Investigation  . 22  3.1 Introduction   . 22  3.2 Review of Frequent Mining    24  3.2.1 Frequent Mining  ...
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Incorporation of human decision making preference into evolutionary multi objective optimization

Incorporation of human decision making preference into evolutionary multi objective optimization

... 17 Chapter Decision Making Preference in Multi Objective Optimization This chapter presents a review of the a priori / interactive incorporation of preference into Multi Objective Optimization ... Decision Making Preference in Multi Objective Optimization 18 3.1 Features of Human Decision Making 20 3.2 Desirable Properties of Preference- based Evolutionary Search ... Importance of Objectives The relative importance of objectives is an operationally intuitive notion of decision making preference in multi objective optimization The importance of objectives...
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Modeling, simulation and multi objective optimization of industrial, low density polyethylene reactor

Modeling, simulation and multi objective optimization of industrial, low density polyethylene reactor

... 25% of this is lowdensity polyethylene (LDPE) produced in auto-clave and tubular high-pressure reactors and remaining comprises of high -density polyethylene (HDPE) and linear low- density polyethylene ... MODELING, SIMULATION AND MULTI- OBJECTIVE OPTIMIZATION OF AN INDUSTRIAL, LOW- DENSITY POLYETHYLENE REACTOR NAVEEN AGRAWAL (B.Tech, Indian Institute of Technology, Roorkee, ... Modeling and Simulation of LDPE Tubular Reactor 5.3 Multi- objective Optimization 5.3.1 Formulation 5.3.2 Results and Discussion 89 92 95 95 97 iii Table of Contents 5.4 5.3.3 Constraint Handling...
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Modelling, simulation and multi objective optimization of industrial hydrocrackers

Modelling, simulation and multi objective optimization of industrial hydrocrackers

... MODELING, SIMULATION AND MULTI- OBJECTIVE OPTIMIZATION OF INDUSTRIAL HYDROCRACKERS NAVEEN BHUTANI (M.Tech, Indian Institute of Technology, Delhi, India) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF ... two -objective optimization: (a) Maximization of DS* and KS* simultaneously; (b) Maximization of DS* and KS* and minimization of total H2 flow; (c) Maximization of (DS+KS)* and minimization of ... interface of MPMLE Modeling and simulation of styrene reactor unit and styrene 167 168 plant 6.5 170 6.6 Results and discussion 171 6.7 Multi- objective optimization problem Summary 187 Conclusions and...
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SIMULATION AND MULTI OBJECTIVE OPTIMIZATION OF COLD END SEPARATION PROCESS OF AN ETHYLENE PLANT

SIMULATION AND MULTI OBJECTIVE OPTIMIZATION OF COLD END SEPARATION PROCESS OF AN ETHYLENE PLANT

... SIMULATION AND MULTI- OBJECTIVE OPTIMIZATION OF SHRUTI COLD- END SEPARATION PROCESS OF AN ETHYLENE PLANT PANDEY 2013 SIMULATION AND MULTI- OBJECTIVE OPTIMIZATION OF COLD- END SEPARATION PROCESS OF ... reboilers and watercooled condensers The overheads of debutanizer comprise mainly of C4’s and bottoms are C5’s and higher [13] 2.1.2 Analysis and Optimization Simulation and optimization of ethylene process ... thermoeconomic analysis, is a combination of exergy analysis and economics Chang [24] presented exergy and exergoeconomic analyses of an ethylene separation plant The rigorous simulation of the plant was...
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Multi objective optimization based image segmentation method and applications

Multi objective optimization based image segmentation method and applications

... different methods that use SOO to find a suitable threshold Some available methods are Otsu method, minimum error method, mode method and entropy method In this method, Otsu method and minimum error method ... entropy and mode method in most cases Two methods used in this work are explained in detail 23 Chapter Multi- Objective Optimization Based Image Thresholding 3.1 3.1.1 Optimization based on single objective ... are mode method, Otsu method, minimum error method and entropy based method The origins of these methods are explained below Mode method is a type of histogram shape based thresholding method It...
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ASSESSING AND OPTIMIZING THE OPERATION OF THE HOABINH RESERVOIR IN VIETNAM BY MULTI-OBJECTIVE OPTIMAL CONTROL TECHNIQUES doc

ASSESSING AND OPTIMIZING THE OPERATION OF THE HOABINH RESERVOIR IN VIETNAM BY MULTI-OBJECTIVE OPTIMAL CONTROL TECHNIQUES doc

... eciency The in ow to the Hoabinh reservoir The storage of the Hoabinh reservoir The surface of the Hoabinh reservoir The unitary evaporation of the Hoabinh reservoir The evaporation of the Hoabinh reservoir ... through the spillways of the Hoabinh reservoir The water level in the Hoabinh reservoir The water level downstream of the Hoabinh reservoir The hydraulic head of the Hoabinh reservoir Turbine eciency ... Table 2.1: The main variables of the model Meaning The release from the Hoabinh reservoir The release through the turbines of the Hoabinh power plant The maximum turbine capacity of the Hoabinh power...
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báo cáo hóa học:

báo cáo hóa học: " Profit optimization in multi-service cognitive mesh network using machine learning" potx

... network is presented in Network overview’ section We describe spectrum sharing among PUs in ‘On-demand spectrum sharing between PUs’ section ‘Spectrum sharing between PUs and SUs using trading’ ... cognitive mesh network using machine learning EURASIP Journal on Wireless Communications and Networking 2011 2011:36 Submit your manuscript to a journal and benefit from: Convenient online submission ... and maintains blocking probabilities in acceptable range While our adaptation scheme try to maximize PUs’ revenues by increasing spectrum size when the spectrum demand increase, it maintains QoS...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification" potx

... discussed in the previous section, was set to 0.1 For the optimization, a changing set of 1000 signals (phoneme examples) was used for training and a changing set of 400 signals was used for testing ... results for phoneme classification comparing MFB with EFB-A4, EFB-B2, and EFB-C4 at different training conditions (a) Validation in match training conditions, and (b) validation in mismatch training ... an evolutionary method has been proposed for the optimization of a filterbank, in order to obtain a new cepstral representation for phoneme classification We introduced the use of a spline interpolation...
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A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DIRECTIONS OF IMPROVEMENT AND APPLICATION

A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DIRECTIONS OF IMPROVEMENT AND APPLICATION

... MINISTRY OF EDUCATION AND TRAINING MINISTRY OF NATIONAL DEFENSE MILITARY TECHNICAL ACADEMY A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DIRECTIONS OF IMPROVEMENT AND APPLICATION Specialized in: ... represented by an array of real values This array is considered as a chromosome and each element of this array is a gene Here the genotype and phenotype are identical Each element of the array is considered ... Propose an application of DMEA-II for a Spam Email Detection System: A framework which applied DMEA-II to solve the problem of a Spam Email Detection System (a SpamAssassin based system) as an applied...
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