| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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| Outline of Final Research Achievements |
In this study, general-purpose and efficient constrained evolutionary algorithms are studied: (1) We proposed two methods of estimating landscape modality of objective functions by observing the change of objective values in sampling points along a line, or by obtaining the number of valley points which are identified using a proximity graph created from search points. (2) We proposed several tuning methods according to the estimated landscape modality and the methods were applied to differential evolution and particle swarm optimization. (3) We proposed a method that a rough approximation model was applied not only objective functions but also constraint violation functions in order to improve the epsilon constrained method for constrained optimization. It was shown that the efficiency of the constrained optimization algorithms was much improved.
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