期刊名称：JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
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JIMO is an international journal devoted to publishing peer-refereed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques. It is particularly hoped that the study of these practical problems will lead to the discovery of new ideas and the development of novel methodologies in optimization.
JIMO is published by AIMS, sponsored by Department of Mathematics and Statistics, Curtin University of Technology, and Department of Mathematics, Zhejiang University
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Instructions to Authors
Topics of interest to JIMO include but not limited to the following:
Optimization: Optimization methodologies and techniques including discrete and mixed integer optimization, global optimization, linear and nonlinear continuous optimization, non-smooth optimization, optimal control, semi-infinite and semi-definite programming, stochastic programming, etc.
Industry: Optimization problems arising from various fields of engineering, including chemical and process engineering, civil and structural engineering, circuits and systems, environmental engineering, industrial and systems engineering, telecommunications engineering, etc.
Management Sciences: Optimization problems arising from various areas of management sciences including decision analysis, finance, logistics, supply chain management, etc.
JIMO welcomes high quality original papers (except expository papers), which are in one (or a combination) of the following three categories:
(a) Papers devoted to novel applications of optimization techniques in solving practically significant problems arise in industry or management science;
(b) Papers devoted to the development of optimization theory and methods with a clear motivation for application in industry and management science; and
(c) Papers using numerical optimization simulations, to reveal or explain new scientific and engineering phenomena, where optimization theory plays a major role in the analysis and process.
Papers submitted to this journal must contain a comprehensive introductory section and an in-depth discussion section. The scientific importance and motivations of the paper and its conclusions should be made clear at the outset. Furthermore, the paper must be presented in a way that its main results, and methods, together with their applicability, can be comprehended by people from a wide range of scientific fields. Manuscripts applying standard techniques to slightly new problems or providing mathematical analysis in the absence of significant scientific motivation will not be considered. Papers oriented toward experimentation or numerical simulation must have a novel and sound theoretical explanation.
To ensure and enhance readability of articles, authors are required to provide a brief paragraph (up to 150 words) describing background references. The authors are encouraged to provide a short paragraph (up to 100 words) describing their current research interests, education background and professional experience.
Expository articles must be timely, of broad interest, of lucid presentation. It shall have an insightful historical account of the surveyed topic, and articulation of the topic's scientific importance.
Manuscripts must be written in English and submitted by e-mail in pdf or ps formats (if less than 2MB) directly to the editorial office,
JIMO@exchange.curtin.edu.au
The authors are encouraged to name one or two appropriate associate editors from the editorial board to handle the review process of their manuscripts. All communications will be conducted by e-mails.
Information on TEX preparation of accepted manuscripts can be found at (use the DCDS-B template):
http://aimsciences.org/journals/Tex_prep.htm
The following is a contact address for authors.
Professor TEO Kok Lay
Department of Mathematics and Statistics
Curtin University of Technology
GPO Box U1987, Perth
Western Australia 6845
Tel. (618) 9266 1115
Fax: (618) 9266 3197
E-mail: K.Teo@exchange.curtin.edu.au
JIMO is published by AIMS, sponsored by Curtin University of Technology, and Department of Mathematics of Zhejiang University.
Contributions to this journal are published free of charge.
Please also note CPAA does not offer reprints.
Editorial Board
[ Editors-in-Chief ]
Name / Email Address / Area of expertise
Editor-in-Chief:
Kok Lay Teo
K.L.Teo@curtin.edu.au Department of Mathematics and Statistics
Curtin University of Technology, GPO Box U1987, Perth Western Australia 6845
Numerical optimal control and optimization,
engineering applications
Editor-in-Chief:
Shuping Chen
chensp@gzu.edu.cn Department of Mathematics, Zhejiang University, Hanhzhou 310027, China
Control theory, mathematical finance
[ Editorial Board ]
Name / Email Address / Area of expertise
N. U. Ahmed
ahmed@site.uottawa.ca School of Info Tech & Engineering, University of Ottawa,
P.O. Box 450, Stn. A. Ottawa, Ontario K1N 6N5, Canada
Optimal control, nonlinear filtering, differential inclusions and engineering applications
Adil Bagirov
a.bagirov@ballarat.edu.au University of Ballarat, University Drive, Mt Helen, Ballarat, VIC, 3350, Australia
global optimization; nonsmooth optimization; application of optimization techniques in data mining
S. Ilker Birbil
sibirbil@sabanciuniv.edu Sabanci University, Faculty of Engineering and Natural Sciences, Orhanli-Tuzla 34956, Istanbul, Turkey
nonlinear optimization; numerical and heuristic methods; production planning
Lou Caccetta
caccetta@maths.curtin.edu.au Department of Mathematics and Statistics Curtin
University of Technology, Bentley,
West Australia, 6102, Australia
Discrete optimization, mining
Xiaoqiang Cai
xqcai@se.cuhk.edu.hk The Chinese University of Hong Kong,
Department of System Engineering and Engineering Management, Hong Kong, China
logistics and supply chain optimization; scheduling
Xiaojun Chen
maxjchen@polyu.edu.hk
Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom Kowloon, Hong Kong, China
Numerical optimization methods and their applications
T. C. Edwin Cheng
lgtcheng@inet.polyu.edu.hk Department of Logistics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
Management science, scheduling
Milind Dawande
milind@utdallas.edu University of Texas at Dallas, School of Management (SM30), 800 W. Campbell Road, Richardson, TX 75080-3021, USA
Combinatorial optimization; graph theory; linear and integer programming
Kalyanmoy Deb
deb@iitk.ac.in Deva Raj Chair Professor, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, PIN 208016, India
Evolutionary optimization; optimal design; multi-objective optimization; machine learning
Vladimir Demyanov
vfd@ad9503.spb.edu Applied Mathematics Department,
St. Petersburg State University,
198904 Staryi Peterhof, St. Petersburg, Russia
Nonsmooth optimization
Dick den Hertog
D.denHertog@uvt.nl Professor of Operations Research, Faculty of Economics and Business Administration, Tilburg University, P.O.
Box 90153, 5000 LE Tilburg, The Netherlands
Linear and nonlinear optimization, Optimization based on deterministic simulations, Robust optimization
Moritz Diehl
Moritz.Diehl@esat.kuleuven.be Optimization in Engineering, Electrical Engineering Department (ESAT), Division SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Leuven-Heverlee, Belgium
Nonlinear optimization
Gianni Di Pillo
dipillo@dis.uniroma1.it Dept. of Computer and Systems Science, University of Rome "La Sapienza", Via Ariosto 25, 00185 Rome, Italy
Nonlinear optimization
Shu-Cherng Fang
fang@eos.ncsu.edu Dept of Industrial Engineering North Carolina State University, Raleigh, NC 27695-7906, USA
Operations research, nonlinear optimization, and industrial engineering
Christodoulos A. Floudas
floudas@titan.princeton.edu Dept of Chemical Engineering, Princeton University, Princeton, NJ 08544-5263, USA
Global optimization, chemical engineering
Masao Fukushima
fuku@amp.i.kyoto-u.ac.jp Dept of Applied Math and Physics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan
Variational inequality, nonlinear optimization
David Y. Gao
d.gao@ballarat.edu.au Graduate School of Information Technology and Mathematical Science, University of Ballarat, P.O. Box 663, Ballarat, Vic. 3353, Australia
Global Optimization, Engineering Optimization and Mechanics
Richard F. Hartl
Richard.Hartl@univie.ac.at University of Vienna/BWZ, Chair, Production & Operations Management, Bruennerstr. 72, A-1210 Wien
optimal control and its applications in economic and management; transportation; production; supply chain management
Hiroshi Konno
konno@indsys.chuo-u.ac.jp Dept of Industrial & Systems Eng., Faculty of Science
and Engineering, Chuo University, 1-13-27 Kasuga,
Bunkyo-Ku Tokyo 112-8551, Japan
Global optimization, financial optimization
Joseph Y-T. Leung
leung@oak.njit.edu Department of Computer Science, New Jersey Institute
of Technology, University Heights, Newark, NJ 07102, USA
machine scheduling theory; computational complexity; analysis of algorithms
Duan Li
dli@se.cuhk.edu.hk Dept of Systems Engineering and Engineering
Management, Chinese University of Hong
Kong, Hung Hom, Kowloon, Hong Kong, China
Nonlinear optimization, reliability,
financial optimization
Cheng-Chew Lim
cclim@eleceng.adelaide.edu.au School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia 5005
Optimal control in engineering applications
Yong Ching Lim
elelimyc@pmail.ntu.edu.sg School of Electrical Engineering,
Nanyang Technological University,
Nanyang Avenue, Singapore 639798
Eng. optimization, and telecommunications engineering
Marco A. Lopez-Cerda
marco.antonio@ua.es Departamento de Estadística e Inv.
Operativa Facultad de Ciencias,
Universidad de Alicante 03080-Alicante, Spain
Semi-infinite programming
Helmut Maurer
maurer@math.uni-muenster.de Universit"at M"unster, Institut f"ur, Numerische
Mathematik, Einsteinstr. 62, D-48149 M"
unster, Germany
Optimal control and applications
Andres Medaglia
amedagli@uniandes.edu.co Departamento de Ingeniería Industrial, Universidad de los Andes, Cra. 1 # 18 A - 10 Bogotá, D.C., Colombia
Multi-objective evolutionary algorithms, logistics applications, optimization software
Panos M. Pardalos
pardalos@ufl.edu 303 Weil Hall, Industrial and Systems Engineering,
University of Florida Gainesville, FL 32611, USA
Global optimization, discrete optimization
Charles Pearce
Charles.pearce@adelaide.edu.au Dept of Applied Mathematics, University of Adelaide
SA 5005, Australia
Queuing and industrial optimization
Liqun Qi
maqilq@inet.polyu.edu.hk Department of Applied Mathematics, The Hong Kong
Polytechnic University, Hung Hom, Kowloon,
Hong Kong, China
Nonlinear optimization, nonsmooth analysis
Jan Joachim Ruckmann
ruckmanj@maths.bham.ac.uk University of Birmingham, School of Mathematics Edgbaston, Birmingham B152TT, United Kingdom
Nonlinear optimization, stability and sensitivity
analysis, semi-infinite optimization
Ekkehard W. Sachs
sachs@uni-trier.de FB 4 - Department of Mathematics University
of Trier 54286 Trier, Germany
Numerical optimization and optimal control
Siegfried Schaible
schaible2008@gmail.com
Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, 32023, Taiwan
nonlinear analysis; optimization
Klaus Schittkowski
klaus.schittkowski@uni-bayreuth.de University of Bayreuth, Department of Mathematics,
D-95440 Bayreuth, Germany
Numerical optimization, optimization software
Carlton Scott
chscott@gsm.uci.edu
Paul Merage School of Business, UCI, Irvine, California 92697-3125, USA
Convex and geometric programming
Suresh P. Sethi
sethi@utdallas.edu School of Management,
University of Texas at Dallas, Box 830688, Richardson,
TX 75083-0688, USA
Inventory and supply chain management
Jie Sun
jsun@nus.edu.sg Dept of Decision Sciences, National University of Singapore, Kent Ridge, Singapore
Semi-definite programming, decision sciences
Yutaka Takahashi
takahashi@i.kyoto-u.ac.jp Dept. of Systems Science, Graduate School of Informatics Kyoto University Kyoto 606-8501, Japan
Queueing theory; performance analysis; networking
Tamas Terlaky
terlaky@lehigh.edu Department of Industrial and Systems Engineering, P.C. Rossin College of Engineering and Applied Science, Lehigh University, Harold S. Mohler Laboratory, 200 West Packer Avenue, Bethlehem, PA
18015-1582, USA
Nonlinear and engineering optimization
Michel Thera
michel.thera@unilim.fr University of Limoges, 123, avenue Albert Thomas, 87060 Limoges Cedex, France
convex and variational analysis; nonsmooth optimization; variational inequalities
Nguyen Van Thoai
thoai@uni-trier.de University of Trier, Department of Mathematics,
54286, Trier, Germany
nonconvex programming; multicriteria optimization
Shouyang Wang
swang@mail.iss.ac.cn Institute of System Science, Academy of Math and Systems Science, Chinese Academy of Sciences, Beijing 100080, China
Financial optimization, operations research
Song Wang
swang@maths.uwa.edu.au School of Math and Statistics, University of Western
Australia, Perth, WA 6009, Australia
Scientific computation, numerical software
S. Y. Wu
soonyi@mail.ncku.edu.tw Dept of Mathematics,
National Cheng Kung University, Taiwan
Semi-infinite programming
Xinmin Yang
yang@cqnu.edu.cn Dept of Mathematics, Chongqing Normal University, Chongqing 400047, China
Optimization theory
Xiaoqi Yang
mayangxq@polyu.edu.hk Dept of Applied Math, Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong, China
Variational inequality, financial optimization
Wuyi Yue
yue@konan-u.ac.jp Dept of Info Science & Systems Eng.,
Faculty of Science and Eng, Konan University, 8-9-1 Okamoto, Higashinada-ku, Kobe 658-8501, Japan
Queuing systems, stochastic processes, networks optimization
Huanshui Zhang
hszhang@sdu.edu.cn Shandong University, School of Control Science and Engineering, Jingshi Roda, #73, Jinan, Shandong, China
optimal control; optimal estimation; stochastic programming; optimization with applications in telecommunications
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