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Swarm intelligence for scheduling: a review
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Orientador(es)
Resumo(s)
Swarm Intelligence generally refers to a problem-solving ability that emerges from the
interaction of simple information-processing units. The concept of Swarm suggests multiplicity,
distribution, stochasticity, randomness, and messiness. The concept of Intelligence suggests that
problem-solving approach is successful considering learning, creativity, cognition capabilities. This paper
introduces some of the theoretical foundations, the biological motivation and fundamental aspects of
swarm intelligence based optimization techniques such Particle Swarm Optimization (PSO), Ant Colony
Optimization (ACO) and Artificial Bees Colony (ABC) algorithms for scheduling optimization.
Descrição
Palavras-chave
Decision support system(s) Meta-heuristics Scheduling tools for production management Optimization techniques for manufacturing production