Ant colony
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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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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, instances of the ...
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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 ...
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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 optimization model [1, ...
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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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External memory in a hybrid ant colony system for a 2D strip packing
... Abstract. In this paper we present a study of an Ant Colony System (ACS) for the two-dimensional strip packing problem. In our computational study, we em- phasize the influence of incorporating an external ...
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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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Mecanismo para optimizar el desempeño en redes VANET basado en Ant Colony Optimization
... IOV es una nueva ´ area emergente, en la cual varios veh´ıculos se consideran como objetos interconectados a trav´ es de Internet que colaboran entre s´ı, para el intercambio de datos y actualizaciones. En este trabajo ...
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Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata
... In this p a p e r we have applied two different approaches to t h e self-coordination problem of multi-robot systems in t h e heterogeneous multi-tasks distribution by applying Ant Colony Optimization-based ...
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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
... Most of the proposed solutions in the technical literature are of a centralized nature, in the sense that an external controller is in charge of distributing the tasks among the robots by means of conventional ...
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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
... 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 cost_effort function, the ...
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Automatic design of Ant Colony Optimization for permutation problems
... that ant colony optimization algorithms are capable to construct good solutions only with the pheromone trail mechanism, but in many cases the algorithms do not find the best ...
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The ant colony metaphor for multiple knapsack problem
... the 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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Double ant colony system to improve accessibility after a disaster
... Abstract: We propose a novel double ant colony system to deal with accessibility issues after a natural or man-made disaster. The aim is to maximize the number of survivors that reach the nearest regional ...
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The ant colony metaphor for multiple knapsack problem
... the 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 ...the Ant System (a distributed ...
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Application of Ant Colony Optimization to course timetabling problem
... De esta forma el problema se puede formular como la programación de los horarios de clase definiendo la hora y el salón para cada evento de tal forma que cumpliendo las restricciones dur[r] ...
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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
... En esta tesis se plantea la optimizaci´ on de la s´ıntesis de una agrupaci´ on lineal de antenas con separaci´ on no uniforme empleando algoritmos basados en Colonia de Hormigas, analiza[r] ...
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LOGISTICS PATH OPTIMIZATION BASED ON COGNITIVE PSYCHOLOGY AND CONSUMERS’ PSYCHOLOGICAL PREFERENCE OF WAIT TIME
... traditional ant colony algorithm, a hybrid ant colony algorithm was designed, which chooses the path randomly, and determines the logistics path in a manner similar to roulette ...hybrid ...
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Ant colonies using arc consistency techniques for the set partitioning problem
... In this work, we use two instances of ACO: Ant System (AS) and Ant Colony System (ACS) algorithms, the original and the most famous algorithms in the ACO family [9, 8, 10]. ACS improves the search of ...
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Biological inspired algorithm for Storage Area Networks (ACOSAN)
... Abstract. The routing algorithms like Storage Area Networks (SAN) algorithms are actually deterministic algorithms, but they may become heuristics or probabilistic just because of applying biological inspired algorithms ...
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