Results 271 to 280 of about 4,274,126 (325)

Bacterial Foraging Optimization

International Journal of Swarm Intelligence Research, 2010
The 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, 2014
This 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, Ben Niu, Lianbo Ma, Weixing Su, Yunlong Zhu   +4 more
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Optimal Foraging and Predator–Prey Dynamics

Theoretical Population Biology, 1996
A 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), 2009
Bacterial 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

1981
Management 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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Optimal Foraging in Swirl

2019
This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and basic plotting.
McWhirt, Mary, Weigel, Emily
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Optimal Foraging: A Selective Review of Theory and Tests

The Quarterly review of biology, 1977
G. Pyke, H. Pulliam, E. Charnov
semanticscholar   +1 more source

Parallel Bacterial Foraging Optimization

2011
This chapter focuses on concept of new variant of Bacterial Foraging Optimization (BFO) named as Parallel Bacterial Foraging Optimization (PBFO). The key issues on implementation of PBFO in parallel architecture are also addressed. PBFO and its fusions with Particle Swarm Optimization (PSO) and its variants to optimize multimodal functions with high ...
S. S. Pattnaik, K. M. Bakwad, S. Devi, B. K. Panigrahi, Sanjoy Das   +4 more
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Optimal Foraging

2008
John B. Heppner, John B. Heppner, Minos E. Tzanakakis, Minos E. Tzanakakis, Minos E. Tzanakakis, Pauline O. Lawrence, John L. Capinera, Rod Nagoshi, Günter Gerlach, Hugh Smith, John L. Capinera, John B. Heppner, John B. Heppner, James L. Nation, Alan A. Berryman, Simon R. Leather, John B. Heppner   +16 more
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Honeyeater foraging: A test of optimal foraging theory

Animal Behaviour, 1981
Abstract Honeyeaters (Meliphagidae) were observed foraging for nectar from Lambertia formosa inflorescences, each of which has seven flowers. The frequency distribution of numbers of flowers probed per visit to an inflorescence was found to be bimodal, with one peak at two and the other at seven.
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