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Surrogate-Assisted Evolutionary Computation (SAEC) has widely applied to approximate an objective function. However, SAEC may potentially also reduce the processing time of inexpensive optimization problems wherein solutions are evaluated within a few seconds or minutes. To achieve this, the approximation model of a fitness function should be iterated as few times as possible during optimization....
It is a reasonable idea to solve a problem whose property has not been clarified yet using evolutionary multiobjective optimization (EMO) because EMO does not require domain specific knowledge and analysis for obtained pareto solution set may reveal relationships between design variables and objective functions. This paper focuses on designing a coded aperture (CA), one of the hot topics in computer...
This paper proposes a suggestion-based interactive evolution method for video summarization, which attempts to enhance users' creative thought process without disturbing user edit operation. Although solutions of video summarization are time-varying, a few solutions can be evaluated in parallel. Therefore, the proposed method optimizes summarized video in background asynchronously with user operation...
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