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In this work, we present a proximity load balancing strategy for a distributed cluster-based individual-oriented fish school simulator.
Artificial fish school algorithm emulates three simple social behaviors of a fish in a school, namely, preying, swarming and following, to optimize a target function.
In this paper, as an example of ecological systems, four kinds of fish school models with different properties are presented for investigating the adaptability to environmental variations.
This result demonstrates that the artificial fish school algorithm is efficient for the optimization of pump parameters of gain flattened Raman fiber amplifiers.
In nature fish school, birds flock and bugs swarm not only for reproduction but for other reasons such as finding food and escaping predators.
We gawked at their dimensions, watched tiny fish school at their waterline and laughed at the "Private: Do not board" sign hung above the deck.
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Below, hundreds of bright fish schooled among the coral.
In birds' flocking or fish schooling, a bird or a fish often changes directions suddenly.
PSO is a population-based heuristic optimization technique inspired by social behavior of bird flocking and fish schooling.
Particle swarm optimization (PSO) is a novel population based metaheuristic, inspired by social behavior of bird flocking or fish schooling.
Particle swarm optimization (PSO) is an artificial intelligent algorithm originated from social behavior such as birds flocking and fish schooling.
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