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This paper presents an evolutionary based reconfigurable framework that aims at implementing and reconfiguring precise and low-power FIR filters within short amount of time. Five evolutionary techniques are evaluated for their efficiency to drive the evolution of FIR filters upon the same custom reconfigurable hardware substrate. From a hardware perspective, our architecture composes a novel topology that achieves hardware economy and does not introduce hardware dependencies between different coefficients within the targeted coefficient-set. Three novel evolutionary techniques are proposed that guarantee accurate, prompt and low-power implementation of FIR filters. Each evolutionary technique mainly emphasizes on one or two out of the three investigated parameters (accuracy, power-consumption and real-time adaptation) and hence the designer can select one of these techniques, based on the nature and the needs of the targeted application.