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Ant Colony Optimization (ACO

Self-organizing Routing Algorithm fo Wireless Sensors Networks (WSN) using Ant Colony Optimization (ACO) with Tinyos.

Self-organizing Routing Algorithm fo Wireless Sensors Networks (WSN) using Ant Colony Optimization (ACO) with Tinyos.

... SELF-ORGANIZING ROUTING ALGORITHM FORWIRELESS SENSORS NETWORKS (WSN) USING ANT COLONY OPTIMIZATION (ACÓ) WITH TINYOS.. Nuria Gómez Blas, Luis F.[r] ...

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An ACO approach for the Parallel Machines Scheduling Problem

An ACO approach for the Parallel Machines Scheduling Problem

... the Ant Colony Optimization (ACO) metaheuristic has also been applied to solve scheduling prob- lems such as in [1], [2], [8], [10], [13], [14] and ...

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Geometría computacional y bases de datos

Geometría computacional y bases de datos

... Respecto al problema de optimización de poligonizaciones de puntos en el plano, estamos utilizando técnicas metaheurísticas basadas en Colonia de Hormigas (Ant Colony Optimization, ACO) y ...

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External memory in a hybrid ant colony system for a 2D strip packing

External memory in a hybrid ant colony system for a 2D strip packing

... Ant Colony System (ACS) [6, 5] is one of the most representative algorithms derived from the Ant Colony Optimization (ACO) metaheuristic to deal with combinatorial ...

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Approximations on minimum weight pseudo-triangulations using ant colony optimization metaheuristic

Approximations on minimum weight pseudo-triangulations using ant colony optimization metaheuristic

... the Ant Colony Optimization (ACO) meta- heuristic can be used to find optimal pseudo-triangulations of minimum ...the ACO metaheuristic for ...

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Multiobjective multicast routing with Ant Colony Optimization

Multiobjective multicast routing with Ant Colony Optimization

... Ant Colony Optimization (ACO) is a metaheuristic inspired by the behavior of natural ant colonies ...years, ACO has received increased attention by the scientific community as ...

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Geometría computacional y bases de datos

Geometría computacional y bases de datos

... algoritmos con otras técnicas, como por ejemplo, Delaunay. Se crearon las instancias de prueba, ya que para estos problemas no se encontraron disponibles ningún tipo benchmark con el cual comparar nuestros resultados. ...

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An improved ant colony algorithm for the job shop scheduling problem

An improved ant colony algorithm for the job shop scheduling problem

... The Ant Colony Optimization (ACO) technique has emerged recently (Dorigo et ...combinatorial optimization problems. ACO algorithms, that is, instances of the ACO ...

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Biological inspired algorithm for Storage Area Networks (ACOSAN)

Biological inspired algorithm for Storage Area Networks (ACOSAN)

... Marco Dorigo [6,18,19], the father of an special biological inspired algorithms based on studies of ants natural environments and behaviour: Ant Colony Optimization (ACO) and ANTNET. In ...

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Ant colony optimization for predicting gene interactions from expression data

Ant colony optimization for predicting gene interactions from expression data

... algorithm Ant Colony Optimization (ACO), which is an optimization algorithm inspired by ant ...their colony laying down a pheromone ...approach ACO tries to solve ...

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Meta-Heuristic Algorithm based on Ant Colony Optimization Algorithm, Tabu Search and Project Scheduling Problem (PSP) for the Traveling Salesman Problem

Meta-Heuristic Algorithm based on Ant Colony Optimization Algorithm, Tabu Search and Project Scheduling Problem (PSP) for the Traveling Salesman Problem

... the Ant colony Optimization (ACO) algorithm may produce redundant states in earlier steps, but if we combine ACO with Project Scheduling Problem (PSP) and Tabu Search adding a ...

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The ant colony metaphor in continuous spaces using boundary search

The ant colony metaphor in continuous spaces using boundary search

... the ant colony optimization (ACO) model to numerical optimization problems can be found in the literature and they are not as developed as evolutionary ...The ant colony ...

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Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata

Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata

... behavior. Ant Colony Optimization (ACO) is a meta-heuristic ap- proach that was introduced in the early 1990's by Dorigo et ...of ACO approach is to solve combinatorial ...

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Geometría Computacional y Bases de Datos

Geometría Computacional y Bases de Datos

... (Ant Colony Optimization, ACO) y Recocido Simulado (Simulated Annealing, SA), técnicas determinísticas Voraces (Greedy) y Triangulación de ...metaheurística ACO están publicados en ...

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Soluciones aproximadas para el problema de Triangulación de Peso Mínimo utilizando ACO

Soluciones aproximadas para el problema de Triangulación de Peso Mínimo utilizando ACO

... (Ant Colony Optimization - ACO) para la resoluci´ on aproximada del problema de Triangulaci´ on de Peso M´ınimo (Minimum Weight Triangulation - MWT) para un conjunto de puntos en el ...

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Mecanismo para optimizar el desempeño en redes VANET basado en Ant Colony Optimization

Mecanismo para optimizar el desempeño en redes VANET basado en Ant Colony Optimization

... en Ant Colony Optimization forman una familia de algoritmos que normalmente convergen a las rutas mas ´ optimas en ...[28]. ACO se ha utilizado para diferentes problemas de opti- mizaci´ on ...

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Análisis del Ómicron ACO con optimización local

Análisis del Ómicron ACO con optimización local

... (Ant Colony Optimization o ACO) es una metaheurística inspirada por el comportamiento de búsqueda de alimentos de las ...Ómicron ACO (OA), una nueva alternativa de algoritmo ACO, ...

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Response threshold models, stochastic learning automata and ant colony optimization-based decentralized self-coordination algorithms for heterogeneous multi-tasks distribution in multi-robot systems

Response threshold models, stochastic learning automata and ant colony optimization-based decentralized self-coordination algorithms for heterogeneous multi-tasks distribution in multi-robot systems

... conventional optimization methods and based on global information about the system state ...finally, ant colony optimization-based deterministic ...

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Síntesis de agrupación lineal de antenas empleando algoritmo de optimización basado en colonia de hormigasLinear array antennas synthesis using an ant colony optimization based algorithm

Síntesis de agrupación lineal de antenas empleando algoritmo de optimización basado en colonia de hormigasLinear array antennas synthesis using an ant colony optimization based algorithm

... in optimization of the main beam and many others than focus on the cancelation of interference, but there isn’t one that accomplishes with the proposed multi-objective ...numerical optimization in order to ...

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A Hybrid Simulated Annealing for Job Shop Scheduling Problem

A Hybrid Simulated Annealing for Job Shop Scheduling Problem

... To solve the problem a hybrid algorithm based on Simulated Annealing (SA) with Ant Colony and Genetic Algorithm was developed (AntGenSA). The AntGenSA method generates a set of n solutions (initial ...

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