Multi-Objective Optimization Using Bat Algorithm to Solve Multiprocessor Scheduling and Workload Allocation Problem

Pablo Eliseo Reynoso Aguirre; Pedro Flores Pérez; María de Guadalupe Cota Ortiz

Corpus ID: 17327825

Multi-Objective Optimization Using Bat Algorithm to Solve Multiprocessor Scheduling and Workload Allocation Problem

@inproceedings{Aguirre2015MultiObjectiveOU,
  title={Multi-Objective Optimization Using Bat Algorithm to Solve Multiprocessor Scheduling and Workload Allocation Problem},
  author={Pablo Eliseo Reynoso Aguirre and Pedro Flores P{\'e}rez and Mar{\'i}a de Guadalupe Cota Ortiz},
  year={2015}
}

Pablo Eliseo Reynoso Aguirre, Pedro Flores Pérez, María de Guadalupe Cota Ortiz

Published 2015

Bat Algorithm is an optimization Meta heuristic, classified as a bio inspired heuristic. In 2010, a Computer Scientist and Researcher Dr. Xin She Yang developed this algorithm. The principal motivation of this methodology is the bat swarm pursuit to their prey, using bat eco localization. Its performance has been scored as a good technique compared with genetic algorithms, particle swarm optimization and simulated annealing for a certain kind of optimization problems. This methodology has been… CONTINUE READING

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