| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
In this study, we proposed new search methods for efficiently finding good approximate solutions in globally-multimodal optimization problems and new ones for efficiently searching for good approximate solution sets in many-objective optimization problems. From the viewpoint of searching for good approximate solutions in the globally-multimodal search space, we proposed new methods to discover big-valleys with the optimal solutions and to search for the best solution in each big-valley. We showed that the proposed methods showed better performance than conventional ones on benchmark problems and real-world ones. From the viewpoint of searching for good approximate solution sets in many-objective optimization problems, we proposed new multi-start search methods based on scalarization that are excellent in terms of the coverage. We demonstrated that the proposed methods outperformed conventional ones on benchmark problems.
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