シラバス参照
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シラバス参照
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| 講義概要/Course Information |
| 科目基礎情報/General Information |
| 授業科目名 /Course title (Japanese) |
Topics in Informatics Ⅰ（Evolutionary Computation）（学域） | ||
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| 英文授業科目名 /Course title (English) |
Topics in Informatics Ⅰ（Evolutionary Computation） | ||
| 科目番号 /Code |
INT004a INT004b INT004e | ||
| 開講年度 /Academic year |
2019年度 | 開講年次 /Year offered |
3/4 |
| 開講学期 /Semester(s) offered |
後学期 | 開講コース・課程 /Faculty offering the course |
情報理工学域 |
| 授業の方法 /Teaching method |
講義 | 単位数 /Credits |
2 |
| 科目区分 /Category |
専門科目 | ||
| 開講類・専攻 /Cluster/Department |
Ⅰ類/Ⅱ類 | ||
| 担当教員名 /Lecturer(s) |
佐藤 寛之 | ||
| 居室 /Office |
西6-205 | ||
| 公開E-mail |
h.sato@uec.ac.jp | ||
| 授業関連Webページ /Course website |
N/A | ||
| 更新日 /Last update |
2019/07/02 09:53:04 | 更新状況 /Update status |
公開中 /now open to public |
| 講義情報/Course Description |
| 主題および 達成目標（2,000文字以内） /Themes and goals（up to 2,000 letters） |
Evolutionary computation is a bio-inspired computation methodology and categorized as a part of computational intelligence. Evolutionary computation treats information as genes of organisms, and evolve it inside the computer. The primary usage of evolutionary computation is optimization. As representative industrial applications, the front nose design of the Shinkansen N700 and the wing design of the Mitsubishi regional jet (MRJ) were optimized by evolutionary computation. Evolutionary optimization can be applied even if the characteristic of the target optimization problem is unknown. This course provides lectures of evolutionary algorithms from classic to the latest ones, types of optimization problems, their handling methods in evolutionary algorithms, and implementation techniques. The goals of the class are to be able to recognize the types of optimization problems, select appropriate evolutionary algorithms, and implement one of these algorithms. |
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| 前もって履修 しておくべき科目（1,000文字以内） /Prerequisites（up to 1,000 letters） |
The course has computer exercises involving programming. Students need to know at least one programming language. |
| 前もって履修しておくこ とが望ましい科目（1,000文字以内） /Recommended prerequisites and preparation（up to 1,000 letters） |
Computer Literacy, Fundamental Programming |
| 教科書等（1,000文字以内） /Course textbooks and materials（up to 1,000 letters） |
The lecturer distributes materials. |
| 授業内容と その進め方（2,000文字以内） /Course outline and weekly schedule（up to 2,000 letters） |
1. Introduction to Evolutionary Computation 2. Classic Evolutionary Algorithms: Genetic Algorithm, Evolutionary Strategy, etc. 3. Optimization Problems (Part 1): Combinatorial Problems, Continuous Problems 4. Optimization Problems (Part 2): Constrained Problems, Multi-Objective Problems 5. Optimization Problems (Part 3): Noisy, Dynamic, and Expensive Problems 6. Recent Evolutionary Algorithms (Part 1): Differential Evolution, Particle Swarm Optimization, etc. 7. Recent Evolutionary Algorithms (Part 2): Other Algorithms 8. Computer Exercise of Evolutionary Single Objective Optimization (1) 9. Computer Exercise of Evolutionary Single Objective Optimization (2) 10. Presentations and Discussions about Evolutionary Single Objective Optimization 11. Evolutionary Multi-Objective Optimization and Decision Making Support 12. Evolutionary Many-Objective Optimization 13. Computer Exercise of Evolutionary Multi-Objective Optimization 14. Presentations and Discussions about Evolutionary Multi-Objective Optimization 15. Other Applications and Futures of Evolutionary Computation |
| 実務経験を活かした 授業内容 (実務経験内容も含む) /Course content utilizing practical experience |
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| 授業時間外の学習 （予習・復習等）（1,000文字以内） /Preparation and review outside class（up to 1,000 letters） |
Review and computer exercises should be needed after the weekly class. Since computer exercises involve programming, developing environment needs to be prepared on own computer. |
| 成績評価方法 および評価基準 （最低達成基準を含む） （1,000文字以内） /Evaluation and grading （up to 1,000 letters） |
Students are required to submit reports. The reports are scored, and the evaluation is decided by the followings (100 points maximum). S: >= 90 points A: >= 80 points B: >= 70 points C: >= 60 points D: <60 points |
| オフィスアワー： 授業相談（1,000文字以内） /Office hours（up to 1,000 letters） |
Tuesday, 10:40-12:10. Please make sure to make an appointment by e-mail before visiting the lecturer. |
| 学生へのメッセージ（1,000文字以内） /Message for students（up to 1,000 letters） |
N/A |
| その他 /Others |
N/A |
| キーワード /Keywords |
Evolutionary computation, evolutionary algorithm, optimization, computational intelligence |