The Scientific World Journal

Bioinspired Computation and Its Applications in Operation Management


Publishing date
13 Dec 2013
Status
Published
Submission deadline
04 Oct 2013

Lead Editor

1School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China

2Department of Computer Science, University of North Georgia, Dahlonega, GA, USA

3DeGroote School of Business, DSB 404, McMaster University, Hamilton, ON, Canada L8S4M4

4College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China


Bioinspired Computation and Its Applications in Operation Management

Description

Bioinspired computation is an umbrella term for different computational technologies that are based on principles or models of biological systems. This class of approaches, including evolutionary algorithm, swarm intelligence, and artificial immune system, complements traditional ones in the sense that the former can be applied to large and complex combination optimization problems, but the latter encounters difficulties. Therefore, bioinspired technologies are becoming important in the face of solving discrete and dynamic problems.

Recently, the bioinspired computation has attracted much attention of researchers and has been also widely applied to operation management fields ranging from production assembling, inventory control, project scheduling, human resource management, revenue management, and so forth. However, due to complexity and uncertainty in operation management problems, it is very difficult to find out the optimum solution under the limited resources, time and money in real-world applications, using the bioinspired technologies. Therefore, it is necessary to develop efficient or improved algorithms to solve operation management problems.

The aim of this special issue is to present the original research and review articles on the latest theoretical and practical achievements that will contribute to the field of bioinspired computation and its applications in operation management, in all branches of management science and computer science. Potential topics include, but are not limited to:

  • Benchmarking and evaluation of new bioinspired algorithms
  • Comparative theoretical and empirical studies on bioinspired algorithms, such as evolutionary algorithm, swarm intelligence, and artificial immune system
  • New bioinspired methodology analysis tools, such as rough sets and stochastic process
  • Bioinspired algorithms for discrete/dynamic operation management problems, such as production assembling, inventory control, project scheduling, human resource management, and revenue management
  • Problems related to design, evaluation, and analysis of bioinspired algorithms in operation management

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/computer.science/bic/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 652135
  • - Research Article

Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm

Mengqi Liu | Miyuan Shan | Juan Wu
  • Special Issue
  • - Volume 2014
  • - Article ID 356571
  • - Editorial

Bioinspired Computation and Its Applications in Operation Management

Tinggui Chen | Jianjun Yang | ... | Qiang Cheng
  • Special Issue
  • - Volume 2014
  • - Article ID 164031
  • - Research Article

Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control

Guo Li | Lijun Zhang | Zhaohua Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 894573
  • - Research Article

A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers

Guo Li | Fei Lv | Xu Guan
  • Special Issue
  • - Volume 2014
  • - Article ID 870892
  • - Research Article

Comprehensive Optimization of Emergency Evacuation Route and Departure Time under Traffic Control

Guo Li | Ying Zhou | Mengqi Liu
  • Special Issue
  • - Volume 2014
  • - Article ID 497941
  • - Research Article

Modeling Markov Switching ARMA-GARCH Neural Networks Models and an Application to Forecasting Stock Returns

Melike Bildirici | Özgür Ersin
  • Special Issue
  • - Volume 2014
  • - Article ID 798129
  • - Research Article

Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems

Martins Akugbe Arasomwan | Aderemi Oluyinka Adewumi
  • Special Issue
  • - Volume 2014
  • - Article ID 748141
  • - Research Article

A Novel Algorithm Combining Finite State Method and Genetic Algorithm for Solving Crude Oil Scheduling Problem

Qian-Qian Duan | Gen-Ke Yang | Chang-Chun Pan
  • Special Issue
  • - Volume 2014
  • - Article ID 286575
  • - Research Article

Genetic Algorithm Application in Optimization of Wireless Sensor Networks

Ali Norouzi | A. Halim Zaim
  • Special Issue
  • - Volume 2014
  • - Article ID 354857
  • - Research Article

Multiobjective Robust Design of the Double Wishbone Suspension System Based on Particle Swarm Optimization

Xianfu Cheng | Yuqun Lin
The Scientific World Journal
 Journal metrics
Acceptance rate23%
Submission to final decision56 days
Acceptance to publication59 days
CiteScore1.430
Impact Factor-
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