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SI Memetic Computing 2012 : Journal of Memetic Computing Special Issue: Call for Papers Advances in Nature Inspired Algorithms for Complex Numerical Optimization Problems

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Link: http://www.springer.com/cda/content/document/cda_downloaddocument/CFP_Complex_Optimization.pdf?SGWID=0-0-45-1323237-p173797504
 
When N/A
Where N/A
Submission Deadline Jun 30, 2012
Notification Due Dec 30, 2012
Final Version Due Jan 15, 2013
Categories    evolutionary computation   soft computing   swarm intelligence   memetic computing
 

Call For Papers

**Apologies for cross posting**
CALL FOR PAPERS
Journal of Memetic Computing
Special Issue: Call for Papers

Advances in Nature Inspired Algorithms for Complex Numerical Optimization Problems


Manuscript submission: 30th June 2012
Notification of acceptance/revisions/rejection: 30th September 2012
Revised manuscript submission: 31st October 2012
Notification final decision: 31st December 2012
Final manuscript submission: 15th January 2013

Aims and Scope
Optimization problems occur in almost all spheres of human activities. However, with the increasing competitiveness in the real world scenario, the mathematical models of such problems are getting more and more complex. In fact, cases may appear where it is difficult to place a problem under a specific category. In order to deal with such cases, sophisticated techniques/ algorithms are needed which can efficiently deal with such cases. Nature has always been a source of inspiration for researchers to develop algorithms for the complex numerical optimization problems usually infeasible to solve using traditional techniques. The computational algorithms inspired from nature fall under the category of Nature Inspired Algorithms. In the past few years, researchers have given much attention to Nature Inspired Algorithms (NIA) which not only give a reasonably good solution but are also computationally fast. Some of the popular Nature Inspired Algorithms for complex numerical optimization include Genetic Algorithms, Simulated Annealing, Differential Evolution, Particle Swarm Optimization, Bacterial Foraging Optimization, Artificial Bee Colony, Neural Networks, and Quantum Computing etc. The aim of this special issue is to bring together researchers working in the field of Nature Inspired Algorithms. The main topics of the special issue are:
• Novel nature inspired algorithms for complex numerical optimization problems
• Nature inspired algorithms for multi-objective numerical optimization problems
• Nature inspired algorithms for constrained optimization
• Hybrid methods
• Comparison of various nature inspired algorithms for complex numerical optimization problems
• Parallel implementation
• Real world / novel applications

Instructions for Authors
Manuscripts should have approximately 20 pages and must comply with the author guidelines of the Memetic Computing journal (http://www.springer.com/engineering/journal/12293). Manuscripts should be submitted via the Springer Editorial System https://www.editorialmanager.com/meme. Please choose “SI: Advn in Nature Inspired Algorithms for Complex Numerical Optimization Problems” when specifying the Article Type. All papers will be rigorously refereed by 3 peer reviewers. Submission of a manuscript to this special issue implies that no similar paper is already accepted or will be submitted to any other journal. For more detail follow the link below:
http://www.springer.com/cda/content/document/cda_downloaddocument/CFP_Complex_Optimization.pdf?SGWID=0-0-45-1323237-p173797504

Guest Editors:
Jagdish Chand Bansal, ABV-Indian Institute of Information Technology and Management Gwalior, India
Millie Pant, Indian Institute of Technology Roorkee, India
Kusum Deep, Indian Institute of Technology Roorkee, India
Harish Sharma, ABV-Indian Institute of Information Technology and Management Gwalior, India.



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