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To maintain generality of application in this presentation, sources are represented simply by equivalent specified termination conditions.
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If all regions have been searched or met the pre-specified termination conditions, the method is terminated and output the best solution; otherwise, turn to step 2. The design problem shown in (5) is a simulation-based model, which may be impossible using traditional optimization methods [36, 37].
While conventional early termination methods consider the SAD values of blocks spatially and temporally neighboring to a current block to determine termination conditions, the proposed algorithm takes into account a self-characteristic of the current block for a termination condition.
The entire process is repeated either by predefined number of generations or until specified termination criteria is achieved.
In this set of experiments, maximum number of iterations is used rather than threshold distance to specify the termination conditions.
The termination conditions are then checked.
The proposed algorithm checks two termination conditions simultaneously.
MDC (2000) describe mechanisms as working from start- or set-up conditions to termination conditions.
The second approach determines the early termination conditions to reduce the computing time [9 15].
Since their termination conditions are exclusive, the merged algorithm further accelerates the search speed.
Yet, the luminescence stability is poor due to the surface termination conditions.
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