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The VII International Workshop on Nature Inspired Cooperative Strategies for Optimization

The VII International Workshop on Nature Inspired Cooperative Strategies for Optimization - NICSO 2015 February 25th - 27th, 2015 Chamonix, France
Twitter: @NiscoSeries


      • IMPORTANT DATES * * *
        Full paper submission: September 28, 2014 Acceptance notification: November 15, 2014 Final camera ready: December 15, 2014
        NICSO: February 25-27, 2015

NICSO 2015 will be the seventh edition of the International Workshop on Nature Inspired Cooperative Strategies for Optimization. This workshop aims at bringing together international researchers and practitioners from different disciplines in order to discuss recent advances and exchange ideas on the current state of the art of cooperative problem solving strategies. In this edition, NICSO will include topics related to the optimization, learning and adaptation for manufacturing and assembling systems. All submitted papers will be blind reviewed and are expected to provide original results, insights and experimental innovations in both research and industry. Selection criteria will be based on relevance, originality, significance, impact, technical soundness and quality of the presentation. As in previous editions, papers must be in PDF, not exceeding 12 pages, and will be published in the book series on Studies in Computational Intelligence, Springer (TBC). The authors of a selection of the best accepted papers will be invited to revise and extend their contributions for publication in a special issue in the Journal of Memetic Computing, Springer (TBC).

Target topics (but not limited to):
Adaptive Behaviour
Agent and Holon-based Manufacturing
Amorphous Computing
Artificial Life
Artificial Intelligence
Bio-inspired Architectures for Assembly and Manufacturing Systems Cloud Manufacturing Complex Systems Computer Integrated Manufacturing Data Analytics and Big Data in Manufacturing Design of Manufacturing Systems Distributed Computing Distributed and Collaborative Manufacturing Enterprise Modelling, Integration and Networking Evolutionary Algorithms Evolutionary Robotics Evolvable Manufacturing Evolvable Assembly Systems Flexible, Reconfigurable, Agile and Virtual Manufacturing Human-Machine Systems Hyperheuristics Industrial Applications of Manufacturing Systems Manufacturing Plant Control, Production Planning and Scheduling Maintainability, Reliability and Safety of Production Systems Modelling and Simulation of Manufacturing Processes Membrane Computing Quantum Computing Sensor Networks and Embedded Systems Systems Biology Systems Coevolution Swarm Intelligence Robotics and Robot Applications for Manufacturing

  • Workshop Organizers *
    German Terrazas, University of Nottingham, UK Daniele Scrimieri, University of Nottingham, UK Svetan Ratchev, University of Nottingham, UK

  • Steering Committee *
    Natalio Krasnogor, Newcastle University, UK David A. Pelta, University of Granada, Spain

  • Programme Committee * (More to be announced) Atanas Popov, University of Nottingham, UK Adelaide Marzano, Queen’s University Belfast, UK Christof Teuscher, Portland State University, US Francesco Aggogeri, University of Brescia, Italy Francisco Herrera, University of Granada, Spain Gianluigi Folino, Istituto di Calcolo e Reti ad Alte Prestazioni, Italy Giovanni Dal Maso, Technology Transfer System, Italy Iason Kastanis, CSEM, Switzerland Istvan Nemeth, Budapest University of Technology and Economics, Hungary Jean-Louis Giavitto, Universite d’Evry, France Jose Barata, Universidade Nova de Lisboa, Portugal Kwabena Agyapong-Kodua, University of Warwick, UK Luis Ribeiro, Linkoping University, Sweden Marcos de Sales Guerra Tsuzuki, Universidade de Sao Paulo, Brasil Mario Pavone, University of Catania, Italy Oliver Korb, Cambridge Crystallographic Data Centre, UK Paolo Pedrazzoli, University of Applied Sciences and Arts of Southern Switzerland, Switzerland Peter Kinnell, Loughborough University, UK Rene Doursat, Complex Systems Institute, France Rob Darlington, Liverpool John Moores University, UK Shukri Afazov, Manufacturing Technology Centre, UK


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