Ant colonies
Private information alone can trigger trapping of ant colonies in local feeding optima
... allows ant colonies to make composite collective decisions based on both information sources, distributing their workforce efficiently amongst several food sources in a changing environment (Czaczkes et ...
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Document Image Segmentation using Multi ANT Colonies Algorithm (MAC) on a Multi-Core Processor
... Catala et al. [15] propose an implementation of ACO to solve the Orienteering Problem. Instances of up to a few thousand nodes are solved by building solutions on GPU. Wang et al. [16] propose an implementation of the ...
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The role of non-foraging nests in polydomous wood ant colonies
... lugubris colonies appear to be part of the process of colony ...wood ant colonies appears to be based on new nests being founded in random (with respect to food) ...
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Internest food sharing within wood ant colonies : resource redistribution behavior in a complex system
... where colonies treat the nests of other colonies as food sources; stealing resources in a form of intraspeciic klepto- parasitism (Breed et ...kleptoparasitic colonies this causes an aggressive ...
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The costs and benefits of decentralization and centralization of ant colonies
... settings. Ant colonies are faced by this problem and demonstrate two solutions: 1) centralizing resources in a single nest (monodomy) and 2) decentralizing by spreading resources across many nests ...of ...
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The costs and benefits of decentralization and centralization of ant colonies
... settings. Ant colonies are faced by this problem and demonstrate two solutions: (1) Centralizing resources in a single nest (monodomy); and (2) Decentralizing by spreading resources across many nests ...of ...
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AntMeans: A New Hybrid Algorithm based on Ant Colonies for Complex Data Mining
... The proposed hybrid algorithm has been applied to real data, it generates the highest clustering compact result in the experiments. It has shown its effectiveness as regards Kmeans especially a priori knowledge of class ...
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A Distributed Multilevel Ant Colonies Approach
... the ant-colony optimization al- gorithms, where the problem is instantiated and solved si- multaneously on all available ...pendent ant colonies and it is suitable for algorithms that perform ...
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COMPREHENSIVE STUDY OF ANT COLONIES FOR THE TRAVELING SALESMAN PROBLEM AND COMPARE EFFICIENCY AND PERFORMANCE WITH BASIC ALGORITHM
... suggests, ant algorithms have been inspired by the behavior o f real ant colonies, in particular, by their foraging ...of ant algorithms is the indirect communication of a colony of agents, ...
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Symmetry breaking and pivotal individuals during the reunification of ant colonies
... migrating colonies of the ant Temnothorax rugatulus split among multiple sites, they can later reunify on the basis of queen location or differences in site ...that colonies can reunify even without ...
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AntHeaps: A New Hybrid Image Segmentation Algorithm using Ant Colonies
... In ant-based approaches, one of the first studies on this ant behavior has been done by Deneubourg [3], using simple local rules and without any central control upon a population of simple ants that cluster ...
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Exploration adjustment by ant colonies
... insect colonies organize their work ...in colonies with monomorphic workers, i.e. colonies in which there is no physical diversity among specialized worker castes, certain individuals are more prone ...
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Ant Ecology
... Yet while the scientific natural history of ants has grown to maturity during the past two centuries of research, telling us much about basic habits and the life cycles of hundreds of species, and while the past half ...
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An Improved Algorithm for Inducing Classifica...
... other ant to find that source ...next ant from the nest will choose the shortest path from that two path by the justify the amount of pheromone trails because the amount of pheromone evaporate with time so ...
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An Adaptive Learning Based on Ant Colony and Collaborative Filtering
... such: Ant colonies (adaptive courses) and filtering (similarities' treatment) for optimization reasons, and at the same time without reducing the Unified Learning Model Style (ULSM) interest, gathering a ...
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ACO Modeling: Organizational Modeling of an Ant Multi Colonies Optimization Approach
... Among heuristics, some are adaptable to many different problems without major changes in the algorithm, this is referred to as meta- heuristics. Metaheuristics are generally iterative: that is the same research scheme is ...
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Microbial Community Composition Reveals Spatial Variation and Distinctive Core Microbiome of the Weaver Ant Oecophylla smaragdina in Malaysia
... all colonies and constituted the core microbiota of the ant ...among ant colonies varied between environments, as observed with family Acetobacteraceae that has highest abundance in forest ...
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Eco Geography-Based Optimization : An Improved Water Wave Optimization Models to Solve NP-Hard
... of ant colony optimization is the foraging behaviour of real ant ...artificial ant colonies for the search of approximate solutions to discrete optimization problems, to continuous ...
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Rule Discovery for Binary Classification Problem using ACO based Antminer
... like Ant Colonies based algorithms have been successfully used by many ...and Ant Colonies Optimization (ACO) are currently the most popular algorithms in the area of swarm ...While Ant ...
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Swarm Intelligence based Energy Efficient Routing Protocol for Wireless Ad hoc Networks
... A mobile ad-hoc network (MANET) is a set of mobile nodes which communicate over radio and do not need any infrastructure. This kind of networks are very flexible and suitable for several situations and applications, thus ...
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