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Complex & Intelligent Systems

Complex & Intelligent Systems OnlineFirst articles

13.08.2018 | Survey and State of the Art Open Access

Algorithms for generating all possible spanning trees of a simple undirected connected graph: an extensive review

Generation of all possible spanning trees of a graph is a major area of research in graph theory as the number of spanning trees of a graph increases exponentially with graph size. Several algorithms of varying efficiency have been developed since …

07.08.2018 | Survey and State of the Art Open Access

Model-based evolutionary algorithms: a short survey

The evolutionary algorithms (EAs) are a family of nature-inspired algorithms widely used for solving complex optimization problems. Since the operators (e.g. crossover, mutation, selection) in most traditional EAs are developed on the basis of …

15.06.2018 | Original Article Open Access

Controlling disturbances of islanding in a gas power plant via fuzzy-based neural network approach with a focus on load-shedding system

In a number of power plants such as the South Pars Gas Company, efficient control performance regarding the turbine generator is always needed to avoid facing disturbances of islanding in the supply of power, at each instance of time. It is …

15.06.2018 | Original Article Open Access

An integrated fluvial and flash pluvial model using 2D high-resolution sub-grid and particle swarm optimization-based random forest approaches in GIS

Two types of flooding, namely fluvial flood (FF) and pluvial flash flood (PFF), exist in tropical cities located close to permanent rivers, where extreme precipitation intensity occurs. Although several methods are available for assessment of FF …

13.06.2018 | Original Article Open Access

Intuitionistic trapezoidal fuzzy multi-numbers and its application to multi-criteria decision-making problems

Intuitionistic trapezoidal fuzzy multi-numbers (ITFM-numbers) are a special intuitionistic fuzzy multiset on a real number set, which are very useful for decision makers to depict their intuitionistic fuzzy multi-preference information. In the …

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Complex & Intelligent Systems is a peer-reviewed open access journal published under the SpringerOpen brand.

Complex & Intelligent Systems has been recently selected for coverage in Thomson Reuter’s products and services. Beginning with V. 2 2016, the journal will be indexed and abstracted in:

♦ Emerging Sources Citation Index

Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.

Key topics of focus include:

  • Complexity
    - Complex evolutionary and adaptive Systems
    - Emergent properties and behavior in complex Systems
    - Self-organizing collective systems
    - Biological and social inspirations in problem solving
    - Systems Science and Engineering
  • Intelligent Data Analytics
    - Data mining and knowledge discovery
    - Machine learning
    - Pattern recognition
    - Big Data Analytics and data science
    - Data-driven problem solving
  • Computational Simulation
    - Knowledge-based Systems
    - Agent based Systems
    - Uncertainty modeling
    - Decision support Systems
    - Brain-like computing
    - Ubiquitous computing
    - Computational visualization and interaction

Complex & Intelligent Systems is an Open Access journal supported by King Abdulaziz City for Science and Technology (KACST, Kingdom of Saudi Arabia).

The open access fees (article-processing charges) for this journal are kindly sponsored by KACST. Authors can publish in the journal without any charges.

Every year the KACST medal and a prize of $5000 will be awarded to the best article published in Complex & Intelligent Systems.

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