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BACDP 2015
Special issue on “New challenges in Bio-inspired algorithms in complex and distributed problems”
Bio-inspired algorithms and methods, from computational intelligence techniques as swarm or evolutionary algorithms to other techniques based on principles or models of biological systems, are currently a hot topic in wide number of research areas. The problems related to the representation, and practical application, of these kinds of algorithms provides new and interesting solutions in traditionally complex domains. Distributed Computing develops methods and technology to build systems that are composed of collaborating components. The domains and problems traditionally handled by Distributed Computing allow to look for new challenges to Bio-inspired computation approaches. This special issue welcomes submissions of original papers introducing research results on all the aspects covering the roles of Knowledge and Intelligence in Distributed Systems, ranging from concepts and theoretical developments to advanced technologies and innovative applications. The key topic will be based on practical and real world utilization of Bio- inspired methods, techniques and algorithms in previous types of systems and domains. Paper acceptance and publication will be judged on the basis of their quality and relevance to the symposium themes, clarity of presentation, originality and accuracy of results and proposed solutions.
temi di interesse
Topics include, but are not limited to:
Hybrid systems involving software agents and human actors
Bio-inspired integration of data, information and processes
Autonomic, adaptive and self-organized distributed computing
Intelligent service-oriented distributed systems
Self-organising and adaptive distributed systems
Emerging behaviours in complex distributed systems
Knowledge integration and fusion from distributed sources
Data mining and knowledge discovery in distributed settings based on Bio-inspired methods - Intelligent distributed problem solving and decision making
Bio-inspired computation in complex and real applications (videogames, e-business/e- commerce, e-learning, e-health, e-science, e-government, crisis management, etc...)
Swarm Intelligence and Evolutionary Computation in Distributed and Intelligent applications
Bio-inspired computation to Unmanned Systems
Bio-inspired computation to Social-based knowledge
Forecasting through complex system models and bio-inspire models.