Optimization, Modeling and Control by Soft Computing Techniques (OMCS)


  • Eloy Irigoyen Gordo ‐ University of the Basque Country (Spain)
  • Matilde Santos Peñas ‐ Complutense University of Madrid (Spain)
  • José Luis Calvo Rolle ‐ University of A Coruña (Spain)
  • Mikel Larrea Sukia ‐ University of the Basque Country (Spain)

Scope and topics

Nowadays, regardless any context, due to different reasons as climate change, aging population, and new engineering and industrial requirements, it is necessary to achieve some key challenges such as: minimize energy consumption and emissions to the atmosphere, improve the quality of life of humans, or reach industrial enhancement requests. People involved with industry and academic cannot be oblivious to these facts, because that will determine the future.

In this sense, the industry and some other fields like buildings management, assistive technologies, or real engineering applications play an important role into the different emerging techniques developed with the aim to achieve the previously cited objectives. Obviously, traditional techniques have met to the demands so far, but for future, new advanced improvements are needed.

This session provides an interesting opportunity to present and discuss the latest theoretical advances and real‐world applications in Optimization, Modeling and Control Systems by means of Soft Computing models, including among others, the following topics:

  • Energy efficiency and optimization.
  • Control Techniques efficiency and optimization.
  • Traditional systems improvement.
  • Industrial control new techniques.
  • Modeling of complex systems.
  • Process optimization new techniques.
  • Fault Detection and Diagnosis.
  • Techniques to improve robustness against system failure.
  • Computational intelligence developments aimed to human beings.
  • Engineering and industrial soft computing applications.

Contact information

Eloy Irigoyen Gordo
University of the Basque Country (UPV/EHU)

Important dates


Contents of the session:

Management of manufacturing systems involves development of detailed solutions related to decision making and problem solving processes. There are many important decisions to be taken and high complexity problems to solve (NP-hard), related to e.g. processes organization, planning and control of manufacturing systems. Special attention is paid to inexact solutions for which there is no known algorithm that can obtain an exact solution in polynomial time. The aim of this session is to present results of research related to management of production systems. Taking into account the complexity of problems related to production management, soft computing may deliver the most adequate answers.


  • Application of soft computing methods and tools to problem solving in:
  • Manufacturing Systems Integration
  • Modelling and Design
  • Control and Supervision
  • Production Planning and Scheduling
  • Project Management
  • Supply Chain Management
  • Virtual Organisation
  • Data Mining and Data Recognition
  • Integration of Organisational and Technical Production Preparation
  • Production System Organization
  • Production Management
  • Computer Integrated Manufacturing
  • System Layout
  • Line Balancing


  • Damian Krenczyk (Silesian University of Technology)
  • Bożena Skołud (Silesian University of Technology)
  • Anna Burduk (Wroclaw University of Science and Technology)
  • Krzysztof Kalinowski (Silesian University of Technology)


Damian Krenczyk

e-mail: soco_imms@imms.home.pl

Silesian University of Technology

Faculty of Mechanical Engineering

Institute of Engineering Processes Automation and Integrated Manufacturing Systems

Konarskiego 18A

44-100 Gliwice


tel. +48 32 237 12 19

fax. +48 32 237 16 24

Soft Computing Applications in the Field of Industrial and Environmental Enterprises


There is a wide variety of areas that enterprises find challenging, ranging from Human Resources, to Internationalization, Finance, Risk Assessment, Corporate Social Responsibility, and Knowledge Management among others. Soft computing is a promising proposal for solving some of these challenges. In keeping with this idea, this Special Session aims at compiling related research works on the interplay between Soft Computing and Enterprise Management.


Álvaro Herrero, PhD
University of Burgos (Spain)

Alfredo Jiménez, PhD
KEDGE Business School (France)


Álvaro Herrero, PhD
University of Burgos (Spain)


Important dates

Special issue

Best papers selected from this special session will be invited to submit extended versions to a special issue of one of the following journals:
Cybernetics and Systems: An International Journal
Published by Taylor and Francis.
2016 Impact Factor: 1.434
2016 5-Year Impact Factor: 1.016

Expert Systems

Impact factor:1.18

ISI Journal Citation Reports @ Ranking: 2016:91/133 (Computer Science, Artificial Intelligence)

ISI Journal Citation Reports @ Ranking: 2016:59/104 (Computer Science, Theory & Methods)