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Many plants retain nectarless flowers; we tested whether these act as “decoys” for bees by making neighbouring rewarding flowers seem more valuable—a cognitive bias known as the decoy effect. The presence of decoy flowers did not shift bumblebee preferences between two equally rewarding inflorescences, and bees quickly learned to avoid these nectarless
Mélissa Armand +3 more
wiley +1 more source
Artificial Bee Colony Training of Neural Networks [PDF]
The Artificial Bee Colony (ABC) is a recently introduced swarm intelligence algorithm for optimization, that has previously been applied successfully to the training of neural networks. This paper explores more carefully the performance of the ABC algorithm for optimizing the connection weights of feed-forward neural networks for classification tasks ...
John A. Bullinaria, Khulood AlYahya
openaire +1 more source
The adaptive significance of sensory bias in a foraging context: floral colour preferences in the bumblebee Bombus terrestris [PDF]
Innate sensory biases could play an important role in helping naïve animals to find food. As inexperienced bees are known to have strong innate colour biases we investigated whether bumblebee (Bombus terrestris) colonies with stronger biases for the most
Lars Chittka +6 more
core +1 more source
Urban peatlands can harbour diverse insect communities but depend on appropriate habitat management
Urban peatlands can support high insect diversity, including endangered species and peat bog specialists. Flower diversity boosts endangered species, while succession cover reduces overall insect richness—but bog condition and urbanization showed no major effects.
Nadja Pernat +3 more
wiley +1 more source
An artificial bee colony algorithm for the set covering problem
In this paper, we present a new Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent metaheuristic technique based on the intelligent foraging behavior of honey bee swarm ...
Cuesta R. +3 more
core +1 more source
Parasitoid wasps deploy maternal and embryonic factors to reprogramme host physiology. Venom, calyx fluid, polydnaviruses, teratocytes and larval secretions act in a coordinated, compartmentalised manner. Host‐regulation factors are promising sources of insecticidal, antimicrobial and bioinspired translational molecules.
Ciro Pedro G. Pinto +2 more
wiley +1 more source
In computer network security, the escalating use of computer networks and the corresponding increase in cyberattacks have propelled Intrusion Detection Systems (IDSs) to the forefront of research in computer science.
Hadi Najafi Mohsenabad, Mehmet Ali Tut
doaj +1 more source
The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem.
Li Jianjun, Zhang Ru Bo
doaj +1 more source
A Web-Service for Automated Software Refactoring Using Artificial Bee Colony Optimization
Automated software refactoring is one of the hard combinatorial optimization problems of search-based software engineering domain. The idea is to enhance the quality of the existing software under the guidance of software quality metrics through ...
Ersoy, Nur +3 more
core
Artificial Bee Colony Programming Descriptor for Multi-Class Texture Classification
Texture classification is one of the machine learning methods that attempts to classify textures by evaluating samples. Extracting related features from the samples is necessary to successfully classify textures.
Sibel Arslan +3 more
core +1 more source

