<会議発表論文>
Local Information of Fitness Landscape Obtained by Paired Comparison-Based Memetic Search for Interactive Differential Evolution
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概要 | We propose a triple comparison-based interactive differential evolution (IDE) algorithm. The comparison of target vector and trail vector supports a local fitness landscape for IDE algorithm to conduc...t a memetic search. Besides target vector and trail vector in canonical IDE algorithm framework, we conduct a memetic search around whichever is the vector with better fitness. We use a random number from a normal distribution generator or a uniform distribution generator to perturb the vector for generating a third vector. By comparing the target vector, the trail vector and the third vector, we implement a triple comparison mechanism in IDE algorithm. A Gaussian mixture model is applied as a pseudo IDE user in our evaluation. We compare our proposal with canonical IDE and triple comparison-based IDE implemented by opposite-based learning, and apply several statistical test to investigate the significance of our proposed algorithm. From the evaluation results, our proposed triple comparison-based IDE algorithm shows significantly better performance optimization. We also investigate potential issues arising from our proposal, and discuss some open topics and future opportunities.続きを見る |
目次 | Ⅰ.INTRODUCTION Ⅱ.INTERACTIVE DIFFERENTIAL EVOLUTION AND MULTIPLE COMPARISON MECHANISM FOR HUMAN EVALUATION Ⅲ.MEMETIC SEARCH IN INTERACTIVE DIFFERENTIAL EVOLUTION FOR IMPLEMENTING A NEW TRIPLE COMPARISON MECHANISM Ⅳ.OPTIMIZATION EVALUATION Ⅴ.DISCUSSION Ⅵ.CONCLUSION AND FUTURE WORK |
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CEC2015_Pei | 457 KB | 419 |
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登録日 | 2017.06.14 |
更新日 | 2021.10.06 |