Pareto-based selection algorithm
Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks
... Genetic Algorithm (NSGA) in which a ranking selection method emphasizes current non-dominated solutions and a niching method maintains diversity in the ...
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A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm
... Being a population-based approach, GA are well suited to solve multi-objective optimization problems. A generic single-objective GA can be modified to find a set of multiple non-dominated solutions in a single ...
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POSSIBILISTIC SHARPE RATIO BASED NOVICE PORTFOLIO SELECTION MODELS
... portfolio selection models and solution method to other asset allocation problems, combinational optimization models and multi-period problems to find optimal investment strategy under complex market ...genetic ...
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A Multiobjective Unit Commitment Problem: Minimization of Production Costs and Gas Emissions Best paper award
... BRKGA algorithm is combined with a nondominated sorted ...ranking selection method to evaluate the population and divide it into different Pareto fronts by assigning to each solution a rank equal to ...
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Multiobjective optimization of classifiers by means of 3-D convex Hull based evolutionary algorithms
... new algorithm, the 3-D convex hull evolutionary multiobjective algorithm (3DCH-EMOA) can deal with many additional problems in the machine learning ...the algorithm in different studies on, partly ...
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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION
... optimization algorithm based on GA and ACO to solve TSP is proposed and is then evaluated with some data, both random data and sample data from the library of ...
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Ontology Mapping of Indian Medicinal Plants with Standardized Medical Terms
... Jaccard algorithm gives 27% and Jaro Winkler algorithm gives ...Edge based relationship using WuPalmer algorithm gives 93% mapping ...our algorithm based on WuPalmer gives more ...
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Evidence based selection of housekeeping genes.
... CV, indicates the coefficient of variation and equals the standard deviation divided by the mean (expressed as a percentage). MFC, indicates the maximum fold change, i.e. the ratio of the maximum and minimum values ...
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A Memetic Algorithm for a Bi-objective Bus Driver Rostering Problem
... However, in the rostering context, both the company's and the workers' conflicting interests must be taken into account which leads to problems with multiple objectives (Landa-Silva et al., 2004). Consequently, solutions ...
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CRISPR Content Correlates with the Pathogenic Potential of Escherichia coli.
... Figure 5 and Figure 6 show the original, noisy image and the results of applying different filtering algorithms including CM, CWM and the proposed algorithm to patrol and cars image sequences respectively. In ...
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Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems
... space, Pareto optimality concept is introduced. The interactive algorithm to obtain a satisfactory solution from among a Pareto optimal solution set is proposed on the basis of linear programming ...
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Improved Adaptive Antialiasing for Ray Tracing Implicit Surfaces
... Abstract: Interval arithmetic has been extensively used to create guaranteed intersection test when ray tracing implicit surfaces. Aliasing is one of the principal problems in ray trac- ing, but the interval algorithms ...
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A New Class Based Associative Classification Algorithm
... class based strategic to cut down the searching space of frequent pattern; 2, design a structure call Ordered Rule-Tree to store the rules and their information which may also prepare for the synchronization of ...
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Fuzzy Threshold Values in the Robust Design of Controllers for Probabilistic Uncertain Systems
... in a known structure. In conventional optimum control system design, uncertainties are not addressed and the optimization process is accomplished deterministically. In fact, it has been shown that optimization without ...
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Effective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in Cluster
... balancing algorithm, different nodes may be chosen as target nodes for each new ...this algorithm, the node with zero CPU utilization is the only idle node, and it is always ...length based model ...
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A Harmony Search Based Algorithm for Detecting Distributed Predicates
... our algorithm, namely, the design of the fitness ...the algorithm will be identical for any predicate under ...tailored algorithm to efficiently detect each type of ...
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AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR
... In addition to the above there are additional issues we plan to address in our future research: intensification and diversification. In relation to the space of solutions and how it can be bound and the increment of the ...
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A Block-Based Multi-Scale Background Extraction Algorithm
... Abstract: Problem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on ...
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A Novel Algorithm for Region-Based Image Retrieval Framework
... Abstract: The digital image is probably the most important tools in the medicine since this is used for the diagnosis of the diseases, for drug treatment responses and also manages the diseases of patients, having very ...
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A New Method for Tuning PID Parameters by Using Clone Selection Algorithm
... the selection of PID parameters is correct or not has a very important influence on the performance of the control ...Parameters selection of KP, KI and KD in formula 1 is an issue of multi- objective ...
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