Ant colony optimization
Tasks Scheduling using Ant Colony Optimization
... 1315 Ant Colony Optimization, inspired by the ants foraging behaviour, is a popular technique for approximate optimization (Blum and Roli, ...
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Airline disruption management: dynamic aircraft scheduling with ant colony optimization
... The Ant Colony Optimization (ACO) firstly described by Dorigo (Colorni et ...search optimization algorithm that mimics the behaviour of ants as a sociable ...an ant is a conceptual unit ...
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Ant Colony Optimization Based Modified Termite Algorithm (MTA) with Efficient Stagnation Avoidance Strategy for MANETs
... Wireless communications can be categorized into Infrastructure dependent and infrastructure independent networks. The Cellular networks are infrastructure dependent where as Ad hoc Wireless Networks (AWN) are capable of ...
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DANTE - The combination between an ant colony optimization algorithm and a depth search method
... The -DANTE method is an hybrid meta-heuristic. In combines the evolutionary Ant Colony Optimization (ACO) algorithms with a limited Depth Search. This Depth Search is based in the pheromone trails ...
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Ant-Based Phylogenetic Reconstruction (ABPR): A new distance algorithm for phylogenetic estimation based on ant colony optimization
... on Ant Colony Optimization (ACO), named Ant-Based Phylogenetic Reconstruction ...to optimization algorithms for phylogenetic estimation, the algorithm allows exploration of a larger set ...
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DNA Motif Discovery Based on Ant Colony Optimization and Expectation Maximization
... Another issue is the assumption, made in the Ant Colony Optimization (ACO) and Expectation Maximization (EM) process, that there is only one binding site per sequence. This assumption is contradicted ...
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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION
... In optimization problem, Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO) have been known as good alternative ...Genetic Ant Colony Optimization ...
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Performance Evaluation of Different Network Topologies Based On Ant Colony Optimization
... (Ant Colony Optimization) [1][2][3] and ACO routing is a behavior that is displayed by certain species of ants in nature during ...individual ant is a rather simple creature, with very limited ...
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DETECTION OF MASSES IN MAMMOGRAM IMAGES USING ANT COLONY OPTIMIZATION
... This paper proposes the advances in edge detection techniques, which is used for the mammogram images for cancer diagnosis. It compares the evaluation of edge detection with the proposed method ant colony ...
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Solving the Travelling Salesman Problem Using the Ant Colony Optimization
... The significant part of heuristics comprises metaheuristic methods, which differs from the classical methods in that they combined the stochastic and deterministic composition. It means that they are focused on global ...
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Algoritmos Ant Colony Optimization para o encaminhamento de informação em redes IP com fios
... algoritmos Ant Colony Optimization (ACO) [Dorigo & Stutzle, 2004] que s˜ ao meta heur´ısticas 6 que usam col´ onias de formigas artificiais na busca da melhor so- lu¸c˜ ao para problemas ...
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Ant colony optimization techniques for the hamiltonian p-median problem
... methods). Ant colony optimization (ACO) is one of the most recent metaheuristic ...real ant colonies is exploited in ACO algorithms in order to solve, for example, CO ...
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Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks
... real ant colony where the more the ants follow a trail, the more attractive that trail ...becomes. Ant colony optimization is a class of optimization algorithms modeled on the ...
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Multi-objective Numeric Association Rules Mining via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support and Minimum Confidence
... Currently, all search algorithms which use discretization of numeric attributes for numeric association rule mining, work in the way that the original distribution of the numeric attributes will be lost. This issue leads ...
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4 A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date
... Swarm Optimization algorithm for minimizing total earliness and tardiness penalties with a common due data on a ...Dynamical Ant Colony Optimization (DACO) with heuristics for scheduling jobs ...
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Ant Colony Optimization for Capacitated Vehicle Routing Problem
... combinatorial optimization problem which is concerned with the distribution of goods between the depot and ...an Ant Colony Optimization (ACO) combined with heuristic approaches that act as ...
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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 ...
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Improved Ant Colony Optimization Algorithm based Expert System on Nephrology
... of Ant-Miner is the first step of the REPEAT-UNTIL loop of Algorithm , in which the current ant iteratively adds one term at a time to its current partial ...
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Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems
... others Ant Colony Optimization algorithms, MONACO mimics the ant’s for- aging behaviour supported by a communication process, which relies on a chemical pheromone trail, signalling a good path to ...
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