J.Ignacio Hidalgo (Universidad Complutense de Madrid, Spain
Francisco Fernández (Universidad de Extremadura, Spain)
Bio-Inspired metaheuristics are optimization and problem solvers inspired by nature. During the last decades they had experimented a great success and spreading. As a consequence more complex and computationally costly problems have been tackled and new parallel and distributed implementations of EA are necessary. In this way, parallel architectures, distributed systems and Cloud and Grid Computing have offered an interesting alternative to reduce computing times.
Evolutionary algorithms can also help to solve and optimize a set of tasks required for obtaining a proper functioning of Parallel and Distributed architectures. Genetic Algorithms (GAs), Genetic Programming (GP), Ant Colonies Algorithms (ACOs), Estimation of Distribution Algorithms (EDAs) or Simulated Annealing (SA) are nowadays helping computer architects on the optimization of their architectures.
There is a growing interest in running and exploring new implementations of evolutionary computation on parallel and distributed computing systems. This kind of infrastructures open new ways for solving more complex problems. An emerging number of technologies that enables large-scale resource sharing problem solving within distributed, loosely coordinated groups sometimes termed “virtual organizations” are now available for Evolutionary computation practitioners.
The purpose of this special issue will be to provide a reference of the state-of-the-art in the synergies arising from two different but related fields: Parallel and Distributed Infrastructures and Evolutionary Computation. Our objective is to present a collection of articles which:
(1) discuss the role which parallelism has played and is playing nowadays in these algorithms;
(2) present papers dealing with the use of Parallel and Distributed EA models when dealing with massively parallel infrastructures related problems, such as protocols, middleware, and services, security, resource discovery, sharing, scaling, etc.
(3) examine the importance of cloud and grid computing techniques, and the problems and challenges that they introduce for attaining successful implementations of Parallel and Distributed Bio-inspired Algorithms.
The topic is relevant and significant for researchers using metaheuristics inspired by nature as well as for researchers working on parallel and distributed computing.
Paper acceptance and publication will be judged on the basis of their quality and relevance to the special issue themes, clarity of presentation, originality and accuracy of results and proposed solutions.
Topics include, but are not limited to:
· Evolutionary Algorithms for Parallel Computer Architectures optimization
· High Performance Computing and Bio-inspired Algorithms.
· Cloud and Grid Architectures optimizations using other biologically inspired algorithms: Ant Colonies, Immune Systems, Artificial Life, Cultural Algorithms, etc.
· Cloud and Grid Deployment of Bio-inspired Algorithms.
· Desktop Grids infrastructures for supporting Bio-inspired Algorithms.
· Large Scale Parallel Processing.
· Heterogeneous Computing Platforms for Bio-inspired Algorithms.
· Improvement on Scheduling techniques by means of Bio-inspired Algorithms
· Fault tolerant implementations of PEAs.
· Performance evaluation of Parallel and Distributed EAs implementations and models
· Improvement in system performance through optimization and tuning.
· Parallel Reconfigurable Architectures for Bio-inspired Algorithms.
All submissions will be reviewed according to the journal peer-review policy. For preparing your manuscripts please use the instructions and templates available here.
Submitted papers will be subject to maximum 2 rounds of refereeing process and the authors will be informed about the final decision by August 31st, 2016.
The planned calendar is:
- Submission: 15 June 2016
- First notification: 15 July 2016
- Submission of revisions: 31 July 2016
- Final decision: 31 August 2016
Submitted papers must be unpublished or not submitted anywhere else for publication. If a shorter version of the paper has been accepted or published in a conference, then the submission must contain at least 50% as compared to the conference publication, this must be mentioned when submitting the paper, as well as the name of the conference and the title of publication.