META-HEURISTICS 2015 - Open Special Issue: 'META-HEURISTICS OPTIMIZATION FOR REAL WORLD APPLICATIONS'

APPLIED MATHEMATICAL SCIENCES
Open Special Issue: 'META-HEURISTICS OPTIMIZATION FOR REAL WORLD APPLICATIONS'
Guest Editor: Pandian Vasant
Universiti Teknologi PETRONAS, Malaysia
pvasant-AT-gmail.com
Guest Editor: Vassili Kolokoltsov
University of Warwick,UK V.Kolokoltsov-AT-warwick.ac.uk
Guest editor:
Ugo Fiore
Federico II University, Italy
ufiore-AT-unina.it
Guest editor: Herman Mawengkang
The University of Sumatera Utara, Indonesia
hmawengkang-AT-yahoo.com
Meta-heuristics optimization has been successfully applied to many aspects of Applied Mathematics and Science. For example, as reported in the literature, Gravitational search algorithm GSA), Genetic algorithm (GA), Particle swarm optimization (PSO), Ant colony optimization (ACO), Bat Algorithm (BA), Fire Fly (FF), Evolutionary algorithm (EA)and several hybrid swarm evolutionary algorithms have been adopted to handle complex and uncertain real world optimization problems[1,2]. On the other hand, advances in hybrid optimization techniques, an important section in Mathematics and Science, also assist optimization algorithm experts to develop better methods. For instance, hybrid algorithm has been utilized for finding the relationship among decision variables for optimizers. In order to bridge the concepts and methodologies from the two ends, this special issue focus on the related topics of integrating and utilizing algorithms in meta-heuristics techniques and their applications in Applied Mathematics and Science [3,4]. It provides the opportunity for practitioners handling their complicated real world issues by using meta-heuristics optimization methodologies and for researchers to realize the significant contribution to the body of the knowledge to share findings and look into future directions.
This special issue aims at providing a forum for adopting the state-of-the-art meta-heuristics optimization techniques in Applied Mathematics and Science, developing the cutting hedge optimization techniques by using meta-heuristics approaches, as well as exchanging of related ideas and discussing the future directions. We invite researchers to submit their original and unpublished work related to, but not limited to, the above topics.
References
[1]Vasant, P., Barsoum, N., & Webb, J. (2012). Innovation in Power, Control, and Optimization: Emerging Energy Technologies (pp. 1-396). Hershey, PA: IGI Global. doi:10.4018/978-1-61350-138-2
[2]Vasant, P. M. (2013). Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance (pp. 1-734). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-2086-5
[3]Vasant, P. M. (2014). Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications (2 Volumes) (pp. 1-1018). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-4450-2
[4]Vasant, P. (2015). Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes) (pp. 1-873). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-7258-1
Important Dates:
Submission for Review: May 4, 2015
Acceptance/Rejection Notification: June 6, 2015
Final Version and Registration: July 4, 2015
Tentative Publication Date: September 6, 2015
Submission: Prospective authors should submit high quality and original contributions that have not appeared in any other journals or proceedings. Submissions should follow the guidelines of Applied Mathematical Sciences, which can be found at:
www.m-hikari.com/ams/guide.html
Authors are invited to submit papers by e-mail to the Guest Editor at: pvasant-AT-gmail.com and to the editorial office at:
hikari-AT-m-hikari.com