Ant Colony Optimization
Top PDF Ant Colony Optimization:
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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Automatic design of Ant Colony Optimization for permutation problems
... the optimization may be defined. St¨ utzle and Hoos [15] shown that ant colony optimization algorithms are capable to construct good solutions only with the pheromone trail mechanism, but in ...
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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 ...combinatorial optimization problems based by the behavior of real ...
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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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Ant colony optimization for predicting gene interactions from expression data
... design. Ant Colony Optimization is an algorithm from the Swarm Intelligence family that has been used for optimization problems including prediction of key gene interactions from expression ...
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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
... The research described in this thesis has concerned the coordination of multi- robot systems; which focuses on the self-coordination problem to the distribution of heterogeneous multi-tasks using different approaches. In ...
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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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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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Biological inspired algorithm for Storage Area Networks (ACOSAN)
... (Ant Colony Optimization) of Dorigo ...Multiple Ant Colony Optimization of Navarro and Sinclair and ANTNET of Dorigo are very useful in that matter ...
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The ant colony metaphor in continuous spaces using boundary search
... and ant colony optimization have been studied and found application to numerical optimization ...constrained optimization problems for which several search operators have been proposed ...
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Multi Objective Optimization Using Ants Colony for Placed Capacitors on Distribution Systems
... capacitors optimization methodology with multi objective ...The ant colony optimization is used, adapting its exploration mechanism using the dominance ...
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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 ...are, ...
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An improved ant colony algorithm for the job shop scheduling problem
... The Ant Colony Optimization (ACO) technique has emerged recently (Dorigo et al. [6, 7, 11]) as a new meta-heuristic for hard combinatorial optimization problems. ACO algorithms, that is, ...
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Ant colonies using arc consistency techniques for the set partitioning problem
... were Ant Colony Optimization algorithms and Hybridizations of Ant Colony Optimiza- tion with Constraint Programming techniques based on Arc ...to Ant Colony ...
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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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Geometría Computacional y Bases de Datos
... (Ant Colony Optimization, ACO) y Recocido Simulado (Simulated Annealing, SA), técnicas determinísticas Voraces (Greedy) y Triangulación de ...
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External memory in a hybrid ant colony system for a 2D strip packing
... In this work, we introduce an external memory based ACS to solve a two-dimensional strip packing problem (2SPP), inspired in the ideas of Acan’s works. In this case, we use the external memory to store partial ...
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Double ant colony system to improve accessibility after a disaster
... Regarding future research lines, a possible par- allelization could be incorporated to DACS, and it should be compared with other heuristics, such as ar- tificial bee colony, on several instances. Besides, the ...
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OPPOSITE LEARNING STRATEGIES FOR IMPROVING THE SEARCH PROCESS OF ANT-BASED ALGORITHMS
... This work was inspired in the Opposite Learning literature, in both of its types: Opposition- Based Learning (OBL) and Opposition-Inspired Learning (OIL). OBL was proposed with the objective of obtaining complementary ...
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Some factors influencing colony spacing and survival in the grass cutting ant Acromyrmex landolti fracticornis (Forel) (Formicidae: Attini) in Paraguay
... Intra-specific aggression: During 500 hs of obscrvation, aggression between colonics was seen on 5 occasions, and each tirne occurred on or near a nest mound. During aggression, a higher than normal number of workers was ...
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