Multiprocessor task scheduling on heterogeneous environments by a Hybrid Chemical Reactions Optimization

摘要

This work presents the modeling and implementation of a Hybrid Chemical Reactions Optimization that uses CRO operators to find good solutions, and heuristics to initialize the first population and mapping tasks in processors to solve the Multiprocessor task scheduling problem, taking into account the heterogeneity of the multiprocessor system.