Results 81 to 90 of about 2,660,584 (180)
When is the bait worth the risk? A mechanistic model of a compensatory ecological trap in seabirds
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Ecological traps occur when organisms preferentially select habitats that reduce fitness. In seabird–fishery systems, fishery‐derived trophic subsidies can increase foraging success, reinforce habitat preference and indirectly enhance reproductive output or recruitment,
Cristóbal Anguita +2 more
wiley +1 more source
Insect Science, EarlyView.Strict patterns of co‐divergence have rarely been documented other than among organisms and their symbionts. In this paper, using a molecular approach, we inferr the population‐level phylogenies of a Mediterranean ant species Pheidole pallidula and its nest parasite, the obligate myrmecophilous beetle Paussus favieri. We then investigate the role of co‐
Davide Bergamaschi +2 more
wiley +1 more source
Integrative Zoology, EarlyView.Aphelonyx cerricola and the different stages that make this gall colonizable by ants. ABSTRACT Wasps of the family Cynipidae are known to induce galls of a species‐specific morphology, which during senescence provide a refuge for secondary insect fauna, especially ants.
Daniele Giannetti +5 more
wiley +1 more source
Integrative Zoology, EarlyView.We performed 16S rDNA sequencing and metabolite profiling for three sympatric lizard species—Teratoscincus roborowskii, Phrynocephalus axillaris, and Eremias roborowskii—and compared their goblet cell and enzyme activities in the digestive tract. Our study suggests that the dietary niche may promote divergence or convergence of microbiota across host ...
Yi Yang, Ziyi Wang, Ruichen Wu
wiley +1 more source
An ant system algorithm for automated trajectory planning [PDF]
, 2010 The paper presents an Ant System based algorithm to optimally plan multi-gravity assist trajectories. The algorithm is designed to solve planning problems in which there is a strong dependency of one decision one all the previously made decisions. In the
Vasile, M., Ceriotti, M.
core +2 more sources
A TSP Solving Model Based on Immune Ant Colony Hybrid Algorithm
工程科学与技术, 2010 :In order to solve the problems caused by the traditional ant colony algorithm, such as searching slowly, cling to prematurity, standstill, and the inefficient and useless redundant iteration caused by feedback underutilized in traditional immune ...
Liu Yong, Liu Nian, Liu Sunjun
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Methods in Ecology and Evolution, EarlyView.Abstract The biodiversity crisis demands new approaches to describing and characterising species that can scale beyond the capacity of professional taxonomists alone. Hundreds of millions of specimen images are now openly available, yet almost none carry structured information about the morphology they depict. We present the Descriptron‐GBIF Annotator,
Alex R. Van Dam, Francisco Hita Garcia
wiley +1 more source
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
, 2013 The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
core +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Computer Graphics Forum, EarlyView.Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
Handling continuous attributes in ant colony classification algorithms [PDF]
, 2009 Most real-world classification problems involve continuous (real-valued) attributes, as well as, nominal (discrete) attributes. The majority of Ant Colony Optimisation (ACO) classification algorithms have the limitation of only being able to cope with ...
Otero, Fernando E.B. +5 more
core +1 more source