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Agent-based design for Grasshopper.

Particle Swarm Optimization

Particle swarm optimization -“utilizes a ‘population’ of candidate solutions to evolve to an optimal or near-optimal solution to a problem. -“The degree of optimality is measured by a fitness function defined by the user.” -“differs from evolutionary computation methods in the the population members, called particles, are flown through the problem hyperspace.” -initialized with random..

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Definitions

Quelea uses the word ‘system’ in place of what would be called a swarm in previous swarm intelligence writings. Swarm seems to bring with it a notion of a large number of undesirable small insects whereas in Quelea, systems can have as few as one quelea which could represent any number of different quelea types..

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Applications

Swarm Intelligence -“included application areas are simulation, control, and diagnostic systems in engineering and computer science.” (xxi, Kennedy et al., 2001) Swarms have applications in “understand intelligence and aspects of culture”, and optimizations. (xvi, Kennedy et al., 2001)

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