Soft Computing-Final Project Solved

Find an interesting application of soft computing techniques from the literature, go over the published paper (published not earlier than 2010), and repeat the implementation of the presented work. You are not allowed to select the topics that had been conducted by the previous students who took this course before. The forbidden topics are embedded in the reports of the previous work, which can be accessed from this site:  

You need to double check whether your topic had been done in the previous work.  

Soft computing techniques include fuzzy inference systems, meta heuristic algorithms for optimization problems, and neural network modeling techniques for data mining and AI applications. For examples, you may (1) explore and implement other meta heuristic algorithms that are not covered or implemented in the course, (2) apply learned methods to solve complex research problems; e.g., optimization problems of job scheduling, mechanical design, part assembly, …, (3) apply meta heuristic algorithm to build expert systems, such as GA-MusicComposer, GA-grader, GA-xx expert systems, (4) hybrid soft computing techniques to create intelligent systems for various purposes; or (5) invent your own soft computing techniques; e.g., intelligent systems, algorithms, neural networks with different training methods, etc.

You are encouraged to read related literature first to get familiar with the targeted problem and techniques presented before implementing your system. You should study the key reference paper (published not earlier than 2010) thoroughly to make sure you are fully confident with the system implementation. Then design the data structures required for the system by examining the presented mathematical model. Refer to the implementations of your previous assignments for constructing the desired system.  

A 7-minute presentation will be scheduled for your project presentation and system demonstration. You are also asked to record a video clip to demonstrate the functionalities and execution of your system in solving the target problem or creating the intelligent systems. Submit the key reference paper in hard copy, which should have your commentary marked on it. In addition, submit a final project report in hard copy at the project presentation site.  

 

Conduct your final project according to the following guidelines:

System Development: 

Analyze system requirement before implementing your system, to figure out the required data structured and user interfaces. Try to exercise object-oriented programming techniques to implement the system. The presented soft computing system should have basic yet friendly user interfaces for problem specification and execution parameter setting. Providing visualization for the solution to the problem is strongly encouraged.  

Final Report: 

Project report should consist of the following sections and materials:

Section 1: Introduction → Objectives, Methodologies, Scope.

Section 2: Methods and Problems → Explains the methods used and the problems to be solved in details.

Section 3: Requirements and Functionality Implementation of the System → Present the data structures, algorithms, interface design, and functionalities of the software system that implements the method for the problems discussed.  

Section 4: Numerical or Example Tests → Show the testing results of the benchmark or sample problems and compare the results between different methods if they are available.

Section 5: Conclusion and Discussion→ Discuss the method and the numerical results and make conclusive remarks.