Discussions of Themes
Theme 1: Working with other fields?
1.1 Terminologies
Both the panelist and audience expressed that there may be a need to bridge the gap in terminologies so as to make people talk about the same thing in the same way.
David suggested using Ontology to create the necessary standards for EC terminologies. However, Dan cautions that even though Gene Ontology may be around for some time, but not everyone will actually participates in it.
Russ indicated that terminology has been a problem in many areas such as in Neural Network (NN). He added that the IEEE NN council previously established a standard for NN. However after merely one year the terminology that was created is no longer followed as new terminologies kept surfacing and there is a lack of bodies to monitor it closely.
Subsequently, Ali requested the panelists and audience to cast a vote on the need for a glossary on the EC field. A member of the audience expressed that too many people have their own standards and terminologies and hence it may not be necessary to have yet another entry. To this issue, Russ and Xin also agree that it may not be necessary to create another terminology as long as authors properly detail the EC terms according to the context used in their paper.
1.2 EC Hybridization
It is recognized among most members of the panel and audience that EC hybridization has been very successful in many real world applications and there is certainly no problem with it.
Dan felt that while there is no problem with hybridization, the problem however may lies in convincing people to do EC hybridization with other established methods, as many people are unaware of its success.
Gary also express that it might be easier to demonstrate EC hybridization to customers as they may be more familiar with existing technologies that have been used in the EC hybridization. At the same time, it allows us to show how the use of EC hybridization can perform better than traditional methods to the customers.
In addition, a member of the audience indicated that he would like to see research on EC hybridization with established statistical methods.
1.3 Domain experts + EC experts
Here, the need to develop more multi-disciplinary and cross- discipline human experts in specific domains and EC has been discussed upon. It is felt that there exist communication issues between people from different disciplines.
Paul stressed that it would be a big challenge to make student more multi- disciplinary as such as course program would be difficult to create. Rather, it is often through on job training that one becoming more multi-disciplinary. For example in Test Advantage, Extreme programming where pairs of experts were made to work on the same application was used to allow them to interact and learn from each other in different disciplines.
Dan added that sabbatical or attachments for students at labs of different discipline would also be helpful and such a system has been a success in his university. Russ also felt that projects involving inter-disciplinary areas may also be useful and we should encourage more of these in the university. To this issue, the audience expresses the importance of horizontal and vertical integration between the experts, in particularly, technical and managerial integrations.
In addition, it is also indicated by Arthur that the issue may be a challenge but not really a big problem to the industry. Ken also pointed out that it is not feasible for one to be expert of every application areas rather we should focus more on establishing the EC fundamentals in the students like what we have been doing in the past.
Theme 2: Getting industry on board
Paul Tabor of Test Advantage started the workshop by giving a speech on the Evolutionary Computation (EC) Opportunities and Challenges in Semi- conductor Manufacturing. In particular, he outlined and discussed the driving forces, challenges, applications, commercial solutions and market overview of EC in Semi-conductor Manufacturing.
Subsequently, Arthur Kordon of Dow Chemical Company shared his experiences and vision on the future directions of EC with an industrial perspective. In particular, he discussed on the economic benefits, expected features, industry needs, and key application areas of EC in the chemical industry.
2.1 Defining EC problems
Gary expressed that the industry may not realize they have a problem at all, and may not realize that EC can present a useful solution, or may not even aware of EC at all.
To this issue, Paul indicated that a lot of brainstorming is often conducted before they could identify different types of suitable applications for their clients, which usually take up to 6 -- 18 months before marketing.
Arthur added that the diversity of most real world problems are often very wide and cannot be addressed using a single approach such as EC. Instead one should combine EC with other techniques like Neural Networks creatively to effectively address issues in the real world environment.
Dan suggested having researchers conduct their sabbatical at the industry to better interact with them and learn their problems in order to be able to better identify and solve their problems. To this suggestion, Russ and David caution the issues of Intellectual Property rights between companies and the universities and identify this would be the core problem.
In contrast, Arthur and Paul expressed the importance of Intellectual Property rights to p their companies that is crucial to help them maintain their competitiveness.
A member of audience wishes to know how important Evolutionary Multi- Objective Optimization (EMO) is to the industry. Arthur replied that EMO is top of the priority and more concentrations should be placed on it as it is regarded as the technology capable of delivering parsimonious solution to the industry. In addition, visualization was also suggested by a member of the audience as having a key role to play the link between EC and the industry.
2.2 Having convincing applications?
It has been felt that there is a limited number of convincing applications published in the CEC conference.
The general feeling shared among the panelists and the audience is that this may be due to the fact that most convincing applications of EC are usually published in application specific conferences or journals as they are often viewed as more contributing in that sense.
To increase the number of convincing applications in CEC, Dan suggested that the industry could help by proposing more special sessions. However, the concern of the industry is that their papers may not be accepted. Xin added that the IEEE Transactions of EC do accept application papers of EC but those that do not contribute directly to EC are usually rejected. Arthur expressed that one solution to this would be to define different criteria on the qualities of a good application paper.
Later, Xin further suggested learning from IJCNN by publishing and circulating a list of examples on successful EC industry applications. Further it may be necessary to have people from the industry to provide the index for success applications.
Theme 3: Education Issues
3.1. Proper background: lack of mathematics for biology/computer science students
In this sub-theme, the background of students in the area of EC is discussed.
Xin described that back in Birmingham, their master program on EC has been quite a success. The EC course is packed with lot of stuffs on statistics and has graduates from all disciplines, including biology and chemistry.
A member of the audience however felt that rather than teaching the students all specific topics in classroom, we should educate them to take learning as a lifelong task. Hence we should perhaps educate students in teaching themselves.
David suggested educating the students based on the needs of the industry. However, Paul thinks that from the industry perspective, student should be allowed to choose their field of specialization as they deem fit. Arthur added that the concentration should be on students abilities to do research in a common sense way and be proficient in their communication ability as well as capable of using simple analogy to express concepts to the customers.
Ali asked the panelist and audience if they thought there are appropriate undergraduate textbooks on EC?
Dan replied that there is a lack a good book on EC for undergraduate. Often educators have to write their own lecture notes.
3.2 Career development and convincing research
Arthur expressed that the industry would prefer graduates with skill set in many areas rather than just EC. The audience agrees with Arthur and indicated that even thought one may not continue with EC as their immediate career but it may certainly prove to be useful at a later stage in life since the fundamental of EC has been drilled into them through the EC courses.
3.3 Interdisciplinary area for students and researchers
Generally, there has been a general consensus on the interdisciplinary area of EC for students and researchers. Dan pointed out that there have been a lot of EC groups in Business colleges. Further the audience also felt that more institutions would conduct EC courses in the near future.
Theme 4: Is EC the answer?
4.1 Is scalability an issue?
Arthur and David explained that scalability is important and EC has been found to be successful and scales well with increasing problem complexity.
4.2 Balance of application and theory
The audience felt that theories and error bounds are generally useful for publications and the writing of books. On the other hand, empirical studies are generally sufficient for engineers in real world applications. Nevertheless, it would be to useful and necessary to employ analogies to show whether or not an EC method works well and when the proposed method would work extremely well or even fails.
Xin pointed out that it is often necessary to put oneself in the view of the reader as this will help decide on the balance between applications and theories which helps makes a high quality paper.
Ali later posed the call for possible solutions to increase inputs from the industry.
Bob pointed out that a possible solution may be to host more industry sponsored competitions.
Both Arthur and Paul expressed that the interests in CEC lie in commercial interest after stumbling onto EC through their researchers and great benefits have been found since. They felt that the reason why companies are not involved in EC is mainly due to the lack of convergence theory in EC. Gary on the other hand pointed out that industry would start rushing in once they begin to understand the power of EC.
4.3 Industry input in EC meetings
The audience felt that how much industry would be willing to contribute to EC meetings such as CEC depends on what they could benefit out of the CEC. Hence, there may be a need to market EC meetings to make it more explicit to the industries. Open source code is also regarded as a possible way to encourage more industry inputs.
Epilogue
In this section, a vote on which topics that will remains to investigate and discussed in the future workshop has been made?
Theme 1: Working with other fields?
1.1  Terminologies: Not necessary to work on it as it is not a problem, GO!
1.2   Hybridization: A lot can still be done here. Stay.
1.3  Domain experts + EC experts: GO!
Theme 2: Getting industry on board
2.1 Defining EC problems, Stay
2.2 Having convincing app: Stay
2.3 Fast answers to meaningful problems: Stay
Theme 3: Education
3.1  Proper Background: Not within our control, Stay
3.2   Career development and convincing research: GO!
3.3  Interdisciplinary area for students and researchers: Stay
Theme 4: Is EC the answer?
4.1 Is scalability an issue? : No decision was made.
4.2 Balance of application and theory: No decision was made.
4.3 Industry input in EC meetings: No decision was made.
 
David Fogel pointed our that we are in fact moving very well in the EC field and have been very successful in fact. EC, being a small group to a bigger IEEE CI society, which is bigger than many other societies, we are well recognized in IEEE. Our impact factor in 2001 was 1.7.
Ali explained that the FDEC workshop does not suggest that EC is not well but rather we are looking for suggestions and ideas that may help advance EC further. For example, Ali stressed that part of the results from this workshop would be transform into a white paper which will be updated yearly, in CIS newsletter. The conclusion drawn here would also help make recommendations to the technical committee workgroup and decide what the future direction of EC is.
Lastly, members of audience felt that the FDEC workshop has been an important component to identify the future of EC. In particular, suggestions were made to highlight the changes in the EC field over the years and identify the niches of present EC and how to move it forward. The lists of possible topics may be looked upon:
  • Whether more theory on EC should be developed
  • Learn from other areas to see where EC may proceed, i.e, examine the trends of publications in Science and Statistics.
  • Identify the trajectory of EC and predict the future of EC and present its vision
  • Compare with other CI fields such as NN.
  • Diversify the field.