一、課程說明(Course Desc<x>ription)
<br>
<br>To investigate and discuss the newly developed methodologies both in theory 
<br>and on algorithm so that the uncertainty caused by complex or large-scaled 
<br>problems can be analyzed and solved. 
<br>
<br> 二、指定用書(Text Books)
<br>
<br>Yager & Zadeh, Fuzzy Sets, Neural Nets, and Soft Computing, Van Nostrand 
<br>Reihold, 
<br>1994
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<br> 三、參考書籍(References)
<br>
<br>papers
<br>
<br> 四、教學方式(Teaching Method)
<br>
<br>This is designed in particular for the Ph.D. students so that through paper 
<br>reading, discussion and brain storming, the students can have deeper and 
<br>wider insights towards OR development. Proposal of new ideas are thus highly 
<br>encouraged. Different subjects will be introduced by different lecturers. 
<br>
<br> 五、教學進度(Syllabus)
<br>
<br>
<br>第1週	2/19 Introduction
<br>第2週	2/26 C/C++
<br>第3週	3/4 C/C++ Test
<br>第4週	3/11 Swarm Intelligent and Simplified Swarm Optimization (SSO)-1
<br>第5週	3/18 Swarm Intelligent and Simplified Swarm Optimization (SSO)-2
<br>第6週	3/25 SSO and Optimization Problems
<br>第7週	4/1 校際活動週 停課一日(no class)
<br>第8週	4/8 Midterm (Oral representation)
<br>第9週	4/15 SSO and Data Mining
<br>第10週	4/22 Talk
<br>第11週	4/29 SSO and Artificial Neural Network (ANN)
<br>第12週	5/6 Genetic Algorithm (GA), Differential Evolution (DE)
<br>第13週	5/13 Particle Swarm Optimization (PSO)
<br>第14週	5/20 實驗數據分析
<br>第15週	5/27 Bee Algorithms
<br>第16週  6/3 Hybrid Algorithms 
<br>第17週	6/10 端午節補假(no class)
<br>第18週	6/17 Final Report
<br>
<br>
<br>
<br> 六、成績考核(Evaluation)
<br>
<br>  Oral and Paper presentation
<br>
<br> 七、可連結之網頁位址
<br>
<br>https://sites.google.com/site/integrationcollaborationlab/
<br>