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Complex & Intelligent Systems

Complex & Intelligent Systems OnlineFirst articles

09-07-2020 | Original Article Open Access

A kind of artificial intelligence model based on nature without statistic

Simple rules can generate complexity and human can also learn fast with rules. Can machines learn in a similar way? Can artificial intelligence be independent of statistics? Machine learning is growing rapidly but models are poorly interpretable …

04-07-2020 | Original Article Open Access

Artificial bee colony algorithm based on knowledge fusion

Artificial bee colony (ABC) algorithm is one of the branches of swarm intelligence. Several studies proved that the original ABC has powerful exploration and weak exploitation capabilities. Therefore, balancing exploration and exploitation is …

02-07-2020 | Original Article Open Access

Optimal subset selection for causal inference using machine learning ensembles and particle swarm optimization

We suggest and evaluate a method for optimal construction of synthetic treatment and control samples for the purpose of drawing causal inference. The balance optimization subset selection problem, which formulates minimization of aggregate …

29-06-2020 | Original Article Open Access

Modified Vogel’s approximation method for transportation problem under uncertain environment

The fuzzy transportation problem is a very popular, well-known optimization problem in the area of fuzzy set and system. In most of the cases, researchers use type 1 fuzzy set as the cost of the transportation problem. Type 1 fuzzy number is …

29-06-2020 | Original Article Open Access

Speaker recognition based on characteristic spectrograms and an improved self-organizing feature map neural network

To obtain a speaker’s pronunciation characteristics, a method is proposed based on an idea from bionics, which uses spectrogram statistics to achieve a characteristic spectrogram to give a stable representation of the speaker’s pronunciation from …

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About this journal

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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