[PDF] Top 20 Modified Genetic Algorithms Based Solution To Subset Sum Problem
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Modified Genetic Algorithms Based Solution To Subset Sum Problem
... Salesman Problem (TSP), Boolean Satisfiability problem, Subset Sum problem, Knapsack problem, Hamiltonian Path problem, Post Correspondence Problem (PCP) and Vertex ... See full document
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A Rough Sets based modified Scatter Search algorithm for solving 0-1 Knapsack problem
... KP problem can be studied in the context of portfolio and logistics ...methods to deal with multi objective ...approach to the max–min optimization of the bi-criteria ...assessing solution ... See full document
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New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan
... hybrid genetic-annealing evolutionary algorithm for the independent task scheduling ...was to find the solution that minimizes the total ...methods to use both their abilities to search ... See full document
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Minimizing makespan of a resource-constrained scheduling problem: A hybrid greedy and genetic algorithms
... managers to minimize mean project delay or multi-project duration ...HGA) to solve the resource-constrained multiple project scheduling problem ...worked based on using genetic ... See full document
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Scopus Print Document
... Rostering Problem and proposes the hybridization of column generation and genetic algorithms to achieve good quality rosters in short ...is based on the definition of a subproblem for ... See full document
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Research and Applications of Shop Scheduling Based on Genetic Algorithms
... scheduling problem can be divided into single machine scheduling, parallel machine scheduling, flow shop scheduling and job shop scheduling, job shop scheduling problem is a typical problem and also ... See full document
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A Facility Layout Planner Tool Based on Genetic Algorithms
... applied to the facility layout problem, considering various constraints, such as restricted areas, reserved machinery locations and irregularities of the shapes of manufacturing ...GA solution with ... See full document
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SOLUTION OF TRAVELING SALESMAN PROBLEM ON SCX BASED SELECTION WITH PERFORMANCE ANALYSIS USING GENETIC ALGORITHM
... The Genetic Algorithms using SCXBS, has been coded in Visual Basic 6 on a Pentium 4 personal computer with speed 3 GHz and 2 GB MB RAM under MS Windows XP, Initial population is generated ...the ... See full document
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Hybrid Genetic Algorithms: A Review
... problems to compare the performance of different learning ...found to be consistently ...of solution quality and computational efficiency based on a minmax criterion ...generation to ... See full document
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Comparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power Systems
... algorithm: Genetic Algorithms (GA) are global search techniques, based on the operations observed in natural selection and genetics [16] ...according to the objective function which ... See full document
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Channel Allocation Method for Multi-radio Wireless Mesh Networks based on a Genetic Algorithm
... lution), genetic algorithms are popularly used in computing to solve different optimization problems ...a genetic algorithm starts with a population, followed by an iterative process: ... See full document
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RFID logic circuit with oxide TFTs modeled by genetic algorithms
... model to correctly express the output curves than the transfer ...One solution for this problem, is to do a close study of a ring oscillator, since this circuit oscillates at a frequency ... See full document
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Modified fractional Euler method for solving Fuzzy sequential Fractional Initial Value Problem under H-differentiability
... the solution to Fuzzy sequential Fractional Initial Value Problem [FFIVP] under Caputo type fuzzy frac- tional derivatives by a modified fractional Euler method is ...defined based on ... See full document
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Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.
... forces to separate negative examples from positive ...according to the ISOMAP criterion [37]. To make the local geometry preservation more precise, an error reconstruction constraint is ...defined ... See full document
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Optimization of EC Values of Nutrient Solution for Tomato Fruits Quality in Hydroponics System Using Artificial Neural Network and Genetic Algorithms
... objective to optimize the EC value in tomato crop cultivation. It was important to identify the relationships between different treatments of EC values and both TSS value as well as fruit fresh ...difficult ... See full document
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Distributed Algorithm for Target Localization in Wireless Sensor Networks Using RSS and AoA Measurements
... locations by using a hybrid system that fuses range and angle measurements. Throughout this work, it is assumed that the range measurements are ob- tained from the RSS information exclusively, since ranging based ... See full document
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Efficient Algorithms for a Generalized Shuffling Problem
... added to the move sequences, then the problem become ...restriction to a move that only two adjacent coins of different colors can be ...shuffling problem, what is its optimal solution? ... See full document
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Speeding Up Two-Level Simulation for Tail Conditional Expectations by Means of Prefix Sum Based Algorithms
... [r] ... See full document
6
Fuzzy Optimal Solution to Fuzzy Transportation Problem: A New Approach
... feasible solution to a fully fuzzy transportation ...of modified distribution method, we obtain the fuzzy optimal solution for the fully fuzzy transportation problem without converting ... See full document
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IMPACT OF ALIFE SIMULATION OF DARWINIAN AND LAMARCKIAN EVOLUTIONARY THEORIES
... applied to biological organisms, this theory found its place in a young discipline called Artificial ...Life. Based on the two abstract models of Darwinian and Lamarckian evolutionary theories built using ... See full document
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