Calls for Papers (special): International Journal of Swarm Intelligence Research (IJSIR)


Special Issue On: Swarm Intelligence for Optimization Problems

Submission Due Date
8/2/2018

Guest Editors
Wali Khan Mashwani, Department of Mathematics, Kohat University of Science & Technology, Khyber Pakhtunkhwa, Pakistan

Introduction
Swarm intelligence is an emerging area of research by employing the natural and artificial systems composed of many individuals such as social behavior of bird flocking, fish schooling, herds of land animals and colonies of ants, wasps and termites to solve optimization and search problems. Swarm Intelligence-based techniques including hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search are much effective compared to early nature inspired algorithms such as the genetic algorithm, simulated annealing, ant colony algorithms and many others. All these algorithms have been applied to diverse test suites of optimization and many real-world problems with great success.

Objective
The main focus of this special issue is to look at the state-of-the-art approaches of the evolutionary computation type and apply them to a range of optimization test suites which present a variety of complexities pertinent to problems arising in real applications.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

The theoretical analysis and overview of swarm intelligence and swarm intelligence aspects, State-of-the-art-evolutionary computation methods, Novel hybrid metaheuristic algorithms, Latest versions of the bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search approaches, Ant colony algorithms and ensemble strategies of search operators, population sampling techniques and constrained handling strategies with novel strategies of dynamic resource allocation schemes.

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Swarm intelligence for optimization problems on or before August 2nd, 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Wali Khan Mashwani
Guest Editor
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: mashwanigr8@gmail.com

Special Issue On: Swarm Intelligence in Ecological System Modelling

Submission Due Date
8/31/2018

Guest Editors
Mohamed Elhadi Rahmani, GeCoDe Laboratory, University of Saida, Algeria
Abdelmalek Amine, GeCoDe Laboratory, University of Saida, Algeria

Introduction
Computer modeling of ecological systems is the activity of implementing computer solutions to analyze data related to the fields of remote sensing, earth science, biology and oceans. The ecologists analyze the data to identify the relationships between a response and a set of predictors, using statistical models that do not accurately describe the main sources of variation in the response variable. Knowledge discovery techniques are often more powerful, flexible and effective for exploratory analysis than statistical techniques. Data mining is not only a matter of grouping or classifying data but optimizing exploration itself is an area of major importance in engineering fields in general. The problems NP-Hard Are difficult problems to be solved by conventional techniques. The increase of such kinds of problems has created an active research topic, from which researchers try to develop mathematical techniques to find the best possible solutions for a given problem. Optimization methods are divided into two categories: deterministic methods that are the oldest. These methods require a great effort to make calculations, which gives a greater limit in terms of complexity when the size of the problem increases. This gives the motivation to invent new techniques which consist in using a random computation and a local search to solve an optimization problem based on iterative improvements of a population of solutions or a unique solution. These methods have been brought together in a field called Bio-inspiration and meta-heuristics. One of the most successful techniques in bio-inspiration and meta heuritsics, are swarm intelligence. A swarm-based algorithm is an algorithm from which the solutions present particles with irregular movements in the search space. These algorithms are decentralized and self-organized processes in food research.

Objective
This special issue aims to collect new original researches that apply swarm intelligence techniques on ecological system data modelling. New contributions are welcomed as well as state of the art of application of swarm intelligence to analyze ecological data.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

• Agricultural data analysis.
• Climatology.
• Food Safety.
• Environmental issues in rural and urban areas.
• Soil air and water quality analysis.
• Geographic Information Systems.
• Environmental change and human development.
• Environmental informatics.
• Renewable energy sources and uses.
• Remotely sensed data collection, analysis, interpretation and display.
• Surveying from space, air, water and ground platforms.
• Forestry.
• Aquatic systems.
• Seismic hazards detection.


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Swarm Intelligence in ecological system modelling on or before August 31, 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS athttp://www.igi-global.com/publish/contributor-resources/before-you-write//. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Mohamed Elhadi Rahmani
Guest Editor
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: r_m_elhadi@yahoo.fr

Special Issue On: Swarm Intelligence Techniques for Social Media Systems

Submission Due Date
9/1/2018

Guest Editors
Dr. Anuja Arora, Jaypee Institute of Information Technology, Noida, India
Dr. Divakar Yadav, Madan Mohan Malviya University of Technology, Gorakhpur, India,
Dr. Susan Swayze, Associate Professor, Educational Research, Graduate School of Education and Human Development

Introduction
The Special Issue titled “Swarm Intelligence Techniques for Social Media Systems” invites quality, original and unpublished research articles. In this modern age, huge amounts of content is posted daily by end users through various social media platforms, like Facebook, Twitter, Pinterest, Blogging sites, Forum Sites, and social coding community, on all possible domains such as Ecommerce, News, Marketing, Recruitment, Software Development, Politics, etc. An emerging area of research embraces the notions that social media, stock market, and marketing are basically complex studies and their behavior is difficult to predict.

Objective
This special issue is a premier venue to deal with the swarm intelligent aspect of social computing. Swarm Intelligence encompasses ant colony optimization, particle swarm oprimization, social agents, flocking behavior, evolutionary agents- Genetic Algorithm, and multi-objective optimization. Recent years have seen tremendous studies on leveraging social media analysis using swarm intelligent techniques and have shown promising results to solve various domain issues. In this digital era, data is being generated at an exponential rate through varied social media applications. The emerging and developing social data offers different challenges and can be resolved by deploying swarm techniques. They need to be customized, adapted and subsequently disseminated. Swarm Intelligence methodologies are successfully helping in big data and thus are open to a plethora of large scale social media applications. Social Media systems are driving contemporary issues and require swarm approaches to resolve.

As a result, there is a need for further research to explore swarm intelligent paradigm to utilize social media data to capture various insights from enormous amount of user generated content on social media platforms and sustain competitive advantages.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

• Swarm intelligence in digital marketing
• Swarming behavior of social insects
• Web Social Swarming
• Social pattern detection
• Swarm techniques for marketing, ecommerce applications
• Web Social Swarming
• Opinion mining
• Agent based social system modeling
• Social Agents
• Agents queuing and homing
• Particle Swarm Optimization for Social Media and Social Network.
• Ant Colony marketing
• ACO in online social media and social network
• Community detection in social network using swarm algorithms
• Clustering social network using swarm optimization algorithms
• Ant’s Social network
• Social market movement prediction
• Machine Learning algorithms on Social Network/ Media applications
• Social Big Data
• Artificial Intelligence for revolutionize Social Media
• Social Listening
• Swarm techniques for Social Recommendation.
• Social Cloud and analytics using Swarm Intelligence
• Optimization in social media environment
• Statistical Learning of Social Media
• Social evolutionary agents- genetic algorithm
• Social network multi objective optimization using GA
• Real-World Applications
• Social media security using swarm intelligence


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Swarm Intelligence Techniques for Social Media Systems on or before 1st September 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Anuja Arora
Guest Editor
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: anuja.arora29@gmail.com

Special Issue On: Bio-inspired Optimization Algorithms and their Applications

Submission Due Date
10/24/2018

Guest Editors
Dr. Pandian Vasant, Universiti Teknologi PETRONAS, Malaysia
Prof. Igor Litvinchev,Nuevo Leon State University (UANL), Mexico
Dr. Van Van Huynh, Ton Duc Thang University, Vietnam

Introduction
Bio-inspired optimization algorithms and optimization approaches are becoming very famous in the research area of artificial intelligence. Many real world and large scale problems, as well as many-objectives problems, can be successfully solved by bio-inspired optimization techniques. This biologically natured novel technique has been a cutting edge research methodology to most of researchers across the planet.

Objective
The main goal of this special issue is to bring in the hidden innovation and creative methodologies and its application in Bio-inspired Optimization Algorithms. Authors are very much encouraged submitting new or modified cutting edge original algorithms or application in academia and industrial exercises and practices.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Particle swarm optimization (PSO)
  • Ant colony optimization (ACO)
  • Artificial bee colony (ABC)
  • Cuckoo search (CS)
  • Bat algorithm (BA)
  • Bio-inspired computation, and its application in solving real world problems as well as large scale problems in engineering, science, technology, economics, management, finance, industry, humanity and social science


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Bio-inspired optimization algorithms and their applications on or before 24th OCTOBER 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Pandian Vasant
Prof. Igor Litvinchev
Dr. Van Van Huynh

Guest Editors
International Journal of Swarm Intelligence Research (IJSIR)
E-mail: pvasant@gmail.com; igorlitvinchev@gmail.com; huynhvanvan@tdt.edu.vn