IEEE Kansai Section 第60回技術講演会
IEEE 関西支部会員各位
IEEE Kansai Section Members
IEEE Kansai Section
Chair Yukihiro Nakamura
中村 行宏
IEEE Kansai Section第60回技術講演会のご案内
The 60th IEEE Kansai Section Lecture Meeting
IEEE関西支部では，会員サービスの一環として，技術講演会を企画・実施しています。
第60回は，大阪府立大学計算知能研究所殿のご協力のもと，Yew Soon Ong 様
(Nanyang Technological University） と Kay Chen Tan 様(National
University of Singapore) をお招きし，下記のとおりに開催致します。
IEEE会員以外の方もご参加いただけます。ご周知頂ければ幸いです。
IEEE Kansai Section will have the 60th IEEE Kansai Section Lecture Meeting as follows.
記
技術講演会概要
講演会テーマ(Title)
Recent Topics in Evolutionary Computation
講演者(Lecturers)
・Yew Soon Ong 氏
Nanyang Technological University
Memetic Computing誌 編集委員長
・Kay Chen Tan 氏
National University of Singapore
IEEE CI Magazine誌 編集委員長
日時(Time & Date)
2010年7月29日(木) 9:30‐11:30
Thursday, July 29, 2010, 9:30‐11:30
場所(Place)
大阪府立大学 中百舌鳥キャンパス A14棟316会議室
http://www.osakafu-u.ac.jp/info/campus/index.html#nakamozu
主催(Organizer)
大阪府立大学計算知能研究所，IEEE関西支部
言語(Language)
英語(English)
プログラム(Program)
- 9:30-10:30
- 講演１ "Towards Memetic Computing"
Yew Soon Ong 氏(NTU，Memetic Computing誌 編集委員長） - 10:30-11:30
- 講演２ "Advances in Evolutionary Multi-objective Optimization"
Kay Chen Tan 氏 （NUS，IEEE CI Magazine誌 編集委員長）
講演内容（Abstract)
・Yew Soon Ong 氏 (NTU，Memetic Computing 誌 編集委員長）
"Towards Memetic Computing"
Memetic computation is a paradigm that uses the notion of meme(s) as
units of information encoded in computational representations for the
purpose of problem-solving. It covers a plethora of potentially rich
meme-inspired computing methodologies, frameworks and operational
algorithms including simple hybrids, adaptive hybrids and memetic
automaton. In this talk, a brief insight to the multi-facet view of meme
in memetic computation will be provided. The design issues anchoring on
hybridization aspects of memetic computation is also reviewed.
Subsequently, the talk takes focus on the algorithmic aspects and
properties of a recently proposed Probabilistic Memetic Framework that
formalizes the design of adaptive hybrids or adaptive memetic algorithm
as opposed to the typical ad-hoc means of design. Finally, we take a
peek into the journey towards memetic computing and gain some insights
into agent computing framework as the key towards more enriching memetic
computation research.
・Kay Chen Tan 氏 （NUS，IEEE CI Magazine 誌 編集委員長）
"Advances in Evolutionary Multi-objective Optimization"
Evolutionary algorithms are stochastic search methods that are efficient
and effective for solving sophisticated multi-objective (MO) problems.
Advances made in the field of evolutionary multi-objective optimization
(EMO) are the results of two decades worth of intense research, studying
various topics that are unique to MO optimization. However many of these
studies assume that the problem is deterministic, and the EMO
performance generally deteriorates in the presence of uncertainties. In
certain situations, the solutions found may not even be implementable in
practice. In this talk, the challenges faced in handling different forms
of uncertainties in EMO will be discussed. Specifically, the impact of
these uncertainties on MO optimization will be described and the
approaches/modifications to basic algorithm design for better EMO
performance will be presented.
講演者略歴(Biography)
・Yew Soon Ong 氏(NTU，Memetic Computing誌 編集委員長）
Ph.D. from University of Southampton, United Kingdom 2002
Director of the Centre for Computational Intelligence, NTU
Editor-in-Chief of Memetic Computing Journal
Chief Editor of Book Series on Studies in Adaptation, Learning, and
Optimization
http://www.esi-topics.com/erf/2007/august07-Ong_Keane.html
・Kay Chen Tan 氏 （NUS，IEEE CI Magazine誌 編集委員長）
Ph.D. from the University of Glasgow, United Kingdom (1997)
Editor-in-Chief of the IEEE Computational Intelligence Magazine
http://ieee-cis.org/pubs/magazine/
General Chair of IEEE CEC 2007
参加費 (Fee)
無料 (Free)
参加申込み先 (Contact for registration)
小坂 有香子
Yukako Kosaka (NTT Communication Science Laboratories)
NTT コミュニケーション科学基礎研究所
Tel: (0774) 93 5518 Fax: (0774) 93 5158
E-mail: ieee-kansaiアットcslab.kecl.ntt.co.jp
（アットを@に変換し，送信してください。）
会場準備の都合上，参加ご希望の方は7月27日(火)までに，Email（Faxでも結構
です）にて以下をお知らせください。
- ご所属
- お名前(ふりがな)
- IEEE会員番号（会員の場合）
本件連絡先 (For further information)
IEEE Kansai Section Technical Program Committee Chair
山田 武士（NTT先端技術総合研究所）
yamada.takアットlab.ntt.co.jp
（アットを@に変換し，送信してください。）
