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Freely foraging macaques value information in ambiguous terrains. [PDF]
Sci RepShahidi N +4 more
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Foraging as an ethological framework for neuroscience.
Trends NeurosciGrima LL +5 more
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Optimal foraging algorithm for global optimization
Applied Soft Computing Journal, 2017Abstract An optimization algorithm, inspired by the animal Behavioral Ecology Theory—Optimal Foraging Theory, named the Optimal Foraging Algorithm (OFA) has been developed. As a new stochastic search algorithm, OFA is used to solve the global optimization problems following the animal foraging behavior.
Guang-Yu Zhu, Wei-Bo Zhang
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Current Biology, 2022
Before visiting your local supermarket, do you write your food shopping list in the order you expect to encounter the items as you walk around, aisle by aisle? This way, you minimise your travel distance, saving time and effort. Many other animals do the same.
Andrew J, King, Harry H, Marshall
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Before visiting your local supermarket, do you write your food shopping list in the order you expect to encounter the items as you walk around, aisle by aisle? This way, you minimise your travel distance, saving time and effort. Many other animals do the same.
Andrew J, King, Harry H, Marshall
openaire +4 more sources
A survey of bacterial foraging optimization
Neurocomputing, 2021Abstract Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal energy during the searching process. Since its inception, it has evoked wide attention from researchers.
Chen Guo +3 more
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Bacterial Foraging Optimization
International Journal of Swarm Intelligence Research, 2010The bacterial foraging optimization (BFO) algorithm mimics how bacteria forage over a landscape of nutrients to perform parallel nongradient optimization. In this article, the author provides a tutorial on BFO, including an overview of the biology of bacterial foraging and the pseudo-code that models this process.
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2021
AbstractThis chapter is a refresher on the prey model of classic optimal foraging theory through the lens of this book. I build on the multi-species functional response, the selection ideas, and the parameter breakdown presented in the preceding chapters to argue for how optimal foraging might arise.
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AbstractThis chapter is a refresher on the prey model of classic optimal foraging theory through the lens of this book. I build on the multi-species functional response, the selection ideas, and the parameter breakdown presented in the preceding chapters to argue for how optimal foraging might arise.
openaire +1 more source