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A pare to optimal temporal partition methodology was developed for splitting and mapping large data flow graph (DFG) to the coarse-grained reconfigurable architecture (CGRA). A multi-objective genetic algorithm (MOGA) derived from the SPEA-II algorithm was first time introduced to the temporal partition realm for simultaneously optimizing multiple mutually exclusive objectives. Experiments carried...
Self-adaptation in evolutionary computation refers to the encoding of parameters into the chromosome to allow for the self-organization process to act on the parameters in addition to the design variables. This paper investigates the feasibility of introducing a self-adaptive mutation operator into a real-coded evolutionary algorithm called the generalized generation gap (G3) algorithm. G3 is currently...
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