[PDF] Top 20 Tasks Scheduling using Ant Colony Optimization

Tasks Scheduling using Ant Colony Optimization

... Efficient scheduling of the tasks to heterogeneous processors for any application is critical in order to achieve high ...paradigm using Ant Colony Optimisation (ACO) for arriving at a ... See full document

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MULTI-OBJECTIVE APPROACH IN PREDICTING AMINO ACID INTERACTION NETWORK USING ANT COLONY OPTIMIZATION

... Crossover is the operator which is used to create offspring from two parents. The offspring bear the genes of each parent. As a genetic variation operator there is very high probability to crossover occurs other than ... See full document

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FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

... selected using Gray Level Co-occurrence Matrix (GLCM), Tamura Features (TF) and Gabor Filter (GF) in which pull out of features are formed a feature vector ...Swarm Optimization and Ant Colony ... See full document

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Feature Extraction for Image Classification and Analysis with Ant Colony Optimization Using Fuzzy Logic Approach

... Randomly a pixel is selected from the input grayscale image, is verified with inference rules, to classify to which dataset it belongs to. This is carried out some thing like, the ant collects the information from ... See full document

7

Heuristic Task Allocation Strategies for Computational Grid

... The ant colony optimization algorithm is a probabilistic technique for solving NP complete ...Balanced Ant Colony Optimization (BACO) for job scheduling in grid is ... See full document

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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

... Simulation software is developed to evaluate the proposed method. The simulation runs on Intel- Cores i7-2620M 2.70 GHz. Following how hybrid technique is evaluated by Takahashi[22] and Lee[25], result given by the ... See full document

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4 A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date

... The scheduling problem with a common due date, known as NP-complete problem, has been investigated extensively ...when scheduling jobs on a single machine with a common due ...of scheduling problem ... See full document

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Improved Ant Colony Optimization Algorithm based Expert System on Nephrology

... developed using Java Server Pages (JSP) as front-end and MYSQL database as Backend in such a way that all the activities are carried out in a user-friendly ... See full document

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DNA Motif Discovery Based on Ant Colony Optimization and Expectation Maximization

... on Ant Colony Optimization (ACO) [18] and the Expectation Maximization (EM) ...global optimization metaheuristic originating from research on the foraging behavior of some ant ... See full document

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Ant Colony Optimization Based Modified Termite Algorithm (MTA) with Efficient Stagnation Avoidance Strategy for MANETs

... stable. Using this concept pheromone evaporation for the stable node is fine tuned such that if the ratio “ ” is more, the evaporation is slow and if “ ” is less the evaporation is ...avoided using ... See full document

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Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks

... energy. Using device placement and routing techniques, finding coverage is difficult, because device in the sense sensors, when using heterogeneous WSNs connectivity problem ... See full document

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Architecture Optimization and Training for the Multilayer Perceptron using Ant System

... The ant colony optimization (ACO) is a metaheuristic approach introduced by Marco Dorigo in 1992 to solve combinatorial optimization problems ...a colony of artificial ants, which ... See full document

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Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems

... • IEEE standard 802.1D (Spanning Tree Protocol [802.1D, 2004]) – In redun- dant telecommunication networks there may exist several paths in which two nodes can connect. The existence of multiple paths requires the defin- ... See full document

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Selective Marketing for Retailers to promote Stock using improved Ant Colony Algorithm

... on Ant Colony. The source of inspiration of Ant colony algorithm is foraging behavior of natural ant ...an optimization technique which is popularly termed as Ant ... See full document

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Virtual Machine Scheduling Management on Cloud Computing Using Artificial Bee Colony

... Abstract—Resource scheduling management design on Cloud computing is an important ...problem. Scheduling model, cost, quality of service, time, and conditions of the request for access to services are ... See full document

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DANTE - The combination between an ant colony optimization algorithm and a depth search method

... by using, in the pheromone up- dating formula, only a subset of the solutions contained in that ...kept, using a subset of that set to do pheromones ... See full document

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(Max, +) Optimization Model for Scheduling Operations in a Flow Network with Preventive Maintenance Tasks

... an ant colony optimization algorithm in which conflict is modeled as a probabilistic choice rule depending on the pheromone trail and a heuristic ... See full document

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Optimal Load Dispatch Using Ant Lion Optimization

... based optimization techniques were applied. Particle swarm optimization [2] is one of the famous meta-heuristics applied to solve OLD ...bee colony algorithm (ABC) [8], simulated annealing ... See full document

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Solving the Travelling Salesman Problem Using the Ant Colony Optimization

... Ant colony optimization (ACO) belongs to the group of metaheuristic ...an ant colony provides indirect communication with the help pheromones, which ants ...the ant exudes more ... See full document

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DETECTION OF MASSES IN MAMMOGRAM IMAGES USING ANT COLONY OPTIMIZATION

... their colony act as a community they are able to solve complex problems ...that colony is through pheromone ...the colony will follow the same path ... See full document

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