Results 191 to 200 of about 98,080 (242)
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2020
All of life forages for resources that are needed for survival, development, and reproduction. Optimal foraging theory (OFT) aims to understand foraging behavior by hypothesizing that animals forage...
Graham H. Pyke, Christopher K. Starr
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All of life forages for resources that are needed for survival, development, and reproduction. Optimal foraging theory (OFT) aims to understand foraging behavior by hypothesizing that animals forage...
Graham H. Pyke, Christopher K. Starr
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2019
This module introduces the optimal foraging strategy in the context of understanding competition and coexistence among species. It is intended for an introductory biology audience.
Gross, Lou +2 more
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This module introduces the optimal foraging strategy in the context of understanding competition and coexistence among species. It is intended for an introductory biology audience.
Gross, Lou +2 more
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Optimal foraging algorithm for global optimization
Applied Soft Computing, 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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Journal of Theoretical Biology, 1985
Optimal foraging thoery usually assumes that certain key environmental parameters are known to a foraging animal, and predicts the animal's behaviour under this assumption. However, an animal entering a new environment has incomplete knowledge of these parameters.
John M. McNamara, Alasdair I. Houston
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Optimal foraging thoery usually assumes that certain key environmental parameters are known to a foraging animal, and predicts the animal's behaviour under this assumption. However, an animal entering a new environment has incomplete knowledge of these parameters.
John M. McNamara, Alasdair I. Houston
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2012
All organisms face problems of resource acquisition, and in the broadest sense foraging theory is an attempt to make generalizations about the processes associated with resource acquisition. In theory, resource acquisition is a very general problem, but in practice foraging theory is closely linked to the study of animals and their behavior, since ...
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All organisms face problems of resource acquisition, and in the broadest sense foraging theory is an attempt to make generalizations about the processes associated with resource acquisition. In theory, resource acquisition is a very general problem, but in practice foraging theory is closely linked to the study of animals and their behavior, since ...
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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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Bacterial colony foraging optimization
Neurocomputing, 2014This paper proposes a novel bacterial colony foraging (BCF) algorithm for complex optimization problems. The proposed BCF extend original bacterial foraging algorithm to adaptive and cooperative mode by combining bacterial chemotaxis, cell-to-cell communication, and a self-adaptive foraging strategy.
Hanning Chen +4 more
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Optimal Foraging and Predator–Prey Dynamics
Theoretical Population Biology, 1996A system consisting of a population of predators and two types of prey is considered. The dynamics of the system is described by differential equations with controls. The controls model how predators forage on each of the two types of prey. The choice of these controls is based on the standard assumption in the theory of optimal foraging which requires
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Cooperative Bacterial Foraging Optimization
2009 International Conference on Future BioMedical Information Engineering (FBIE), 2009Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. However, the original BFO algorithm possesses a poor convergence behavior compared to the other successful nature-inspired algorithms.
null Yichuan Shao, null Hanning Chen
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Optimal Management of Optimal Foragers
1981Management models should reflect the reality that organisms will change their behavior in response to environmental changes. Based on the evidence that the harvesting behavior of many animals approximates an optimal behavior, it is shown here how this result may be used in a model of predator-prey dynamics. Using this model it is shown that equilibrium
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