Mathematical Problems in Engineering

Optimization Theory, Methods, and Applications in Engineering 2014


Publishing date
27 Feb 2015
Status
Published
Submission deadline
10 Oct 2014

Lead Editor

1National Taipei University of Technology, Taipei, Taiwan

2University of Minnesota, Minneapolis, USA

3Shanghai Jiao Tong University, Shanghai, China

4Chung Yuan Christian University, Jhongli, Taiwan

5Tokyo University of Science (TUS), Saitama, Japan


Optimization Theory, Methods, and Applications in Engineering 2014

Description

Over years of development, optimization theory and methods have grown in their ability to handle various practical problems. In light of advances in computing systems, optimization approaches have become one of the most promising techniques for engineering applications. To close the gap between optimization theory and the practice of engineering, this special issue intends to provide the details of recent advances of optimization sciences and to promote the applications of optimization methods in engineering. This special issue also provides a forum for researchers and practitioners to review and disseminate quality research work on optimization approaches and their applications in the context of engineering and to identify critical issues for further developments.

We invite investigators to contribute original research articles as well as review articles on all aspects of optimization including deterministic approaches, continuous, mixed-integer, and discrete optimization, stochastic optimization, heuristics, and hybrid methods. Papers devoted to the development of advanced optimization methods for direct or indirect use in engineering are of particular interest. Contributions containing computational issues, search strategies, and modeling and solution techniques to practical problems are also encouraged.

Potential topics include, but are not limited to:

  • Deterministic optimization
  • Stochastic optimization
  • Heuristic algorithms
  • Hybrid methods
  • Industrial engineering and manufacturing systems
  • Computer science and artificial intelligence
  • Multicriteria decision making
  • Management information system

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 276460
  • - Research Article

Minimum Time Approach to Emergency Collision Avoidance by Vehicle Handling Inverse Dynamics

Wang Wei | Bei Shaoyi | ... | Zhang Lanchun
  • Special Issue
  • - Volume 2015
  • - Article ID 152570
  • - Research Article

Multiple Sparse Measurement Gradient Reconstruction Algorithm for DOA Estimation in Compressed Sensing

Weijian Si | Xinggen Qu | ... | Tao Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 361901
  • - Research Article

Equilibrium Customer Strategies in the Queue with Threshold Policy and Setup Times

Peishu Chen | Wenhui Zhou | Yongwu Zhou
  • Special Issue
  • - Volume 2015
  • - Article ID 738578
  • - Research Article

Configuration, Deployment, and Scheduling Models for Management and Optimization of Patrol Services

Bin Yang | Zhi-Hua Hu | Jing-Xian Zhou
  • Special Issue
  • - Volume 2015
  • - Article ID 907034
  • - Research Article

An Ant Optimization Model for Unrelated Parallel Machine Scheduling with Energy Consumption and Total Tardiness

Peng Liang | Hai-dong Yang | ... | Jian-hua Guo
  • Special Issue
  • - Volume 2015
  • - Article ID 810798
  • - Research Article

A Robust Optimization of Capacity Allocation Policies in the Third-Party Warehouse

Xu Xian-hao | Dong Wei-hong | Peng Hongxia
  • Special Issue
  • - Volume 2015
  • - Article ID 736246
  • - Research Article

Robust Control of the Knee Joint Angle of Paraplegic Patients considering Norm-Bounded Uncertainties

Nilson Moutinho dos Santos | Ruberlei Gaino | ... | Marcelo Augusto Assunção Sanches
  • Special Issue
  • - Volume 2015
  • - Article ID 240419
  • - Research Article

An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering

Mohammad Babrdel Bonab | Siti Zaiton Mohd Hashim | ... | Ahmed Khalaf Zager Alsaedi
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Journal Citation Indicator0.400
Impact Factor1.305
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