October 2000
Intermediate to advanced
288 pages
9h 22m
English
In this chapter, we have described biologically inspired methods for task mapping. Task-mapping efforts using both genetic algorithms and neural network techniques were covered.
Three works of parallel genetic search algorithms for task allocation from the recent literature were summarized. We concentrated on describing their implementation strategies, including encoding, how they used genetic operators, and their parallelization methods. We then presented the Hopfield analog neural network, often used by researchers to solve combinatorial optimization problems, and we showed how this neural network can be used to solve the task-mapping problem.
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