colony optimization
Top PDF colony optimization:
Ant colony optimization for predicting gene interactions from expression data
... This final project (TFM) focuses on the collective intelligence algorithm Ant Colony Optimization (ACO), which is an optimization algorithm inspired by ant colonies. In nature, ants of some species ...
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Multiobjective multicast routing with Ant Colony Optimization
... new proposal is able to solve a multicast routing problem in a truly multiobjective context, considering all four objectives at the same time, for the first time using an algorithm based on Ant Colony ...
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Approximations on minimum weight pseudo-triangulations using ant colony optimization metaheuristic
... Abstract. Globally optimal pseudo-triangulations are difficult to be found by deterministic methods as, for most type of criteria, no polyno- mial algorithm is known. In this work, we consider the Minimum Weight ...
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An ACO approach for the Parallel Machines Scheduling Problem
... literature ([12] and [16]) offers a set of dispatching rules and heuristics. Depending on the particular instance of the problem, we see how some heuristics behave better than others. Evolutionary Algo- rithms have been ...
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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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Ant colonies using arc consistency techniques for the set partitioning problem
... Ant Colony Optimization algorithms and Hybridizations of Ant Colony Optimiza- tion with Constraint Programming techniques based on Arc ...Ant Colony Optimization in strongly constrained ...
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Contributions to the development of the CRO SL algorithm: Engineering applications problems
... tackle optimization problems through meta-heuristic ...modern optimization heuristics and meta-heuristics have been lately the core of research, aimed at solving the aforementioned lack of efficient ...Ant ...
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Biological inspired algorithm for Storage Area Networks (ACOSAN)
... (Ant Colony Optimization) of Dorigo ...Ant Colony Optimization of Navarro and Sinclair and ANTNET of Dorigo are very useful in that matter ...
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Geometría computacional y bases de datos
... Para la resolución de problemas de optimización de Triangulaciones y Pseudo- triangulaciones de Peso Mínimo aplicamos las técnicas metaheurísticas: Optimización basada en Colonia de Hormigas (Ant Colony ...
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The ant colony metaphor for multiple knapsack problem
... Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony metaphor, as well as other evolutionary metaphors, was applied successfully to diverse heavily constrained ...
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The ant colony metaphor for multiple knapsack problem
... Ant Colony Metaphor [4,5], an approach based on the result of low-level interaction among many co-operating simple agents that are not aware of their co-operative ...
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From metaheuristics to learnheuristics: Applications to logistics, finance, and computing
... benefits without the implied disadvantages to an investor. Bansal et al. (2014) calculate the ef- ficient frontier for an investment portfolio made up of indices of commodity futures and stocks and find it to lie above ...
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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 técnicas Voraces ...
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Geometría Computacional y Bases de Datos
... Para la resolución de problemas de optimización de Triangulaciones y Pseudo- triangulaciones de Peso Mínimo aplicamos las técnicas metaheurísticas: Optimización basada en Colonia de Hormigas (Ant Colony ...
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