Evolutionary multi objective optimization using neural based estimation of distribution algorithms
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 inve...
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...
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 co...
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- bas...
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...
Báo cáo khoa học: "Multi-Document Summarization using Sentence-based Topic Models" docx
... our BSTM model leads to better summarization results term-document matrix term-sentence matrix the number of latent topics sentence -topic matrix auxiliary document -topic matrix 1: Randomly initialize ... them 2: repeat 3: Update U using Eq (3); 4: Update V using Eq (4); 5: Compute f using Eq (2); 6: until f converges Experimental Results 5.1 Data Set To evaluate the summarization...
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...
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) Maximiza...
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 Analy...
Báo cáo khoa học: "Similarity-Based Estimation of Word Cooccurrence Probabilities" doc
... the back-off scheme of Katz (1987) We first allocate an appropriate probability mass for unseen cooccurrences following the back-off method Then we redistribute that mass to unseen cooccurrences ... according to an averaged cooccurrence distribution of a set of most similar conditioning words, using relative entropy as our similarity measure This second step replaces the use of the...
Báo cáo hóa học: " Research Article Template-Based Estimation of Time-Varying Tempo" pptx
... serve as observation for the estimation of the whole metrical structure through (probabilistic) models: estimation of the tatum, tactus (beat), measure and (or) estimation of systematic time deviations ... offline tempo estimation) , a large variety of processes are used to track/estimate the tempo In the case of a sequence of onsets, time interval histograms (inter-onset-his...
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...
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 ben...
Từ khóa:
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- portfolio optimization using evolutionary algorithms
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