Computational Intelligence and Neuroscience

Fuzzy Swarm Intelligence and its Advances for Real-time Applications


Publishing date
01 Dec 2022
Status
Published
Submission deadline
22 Jul 2022

Lead Editor

1Universidad de Guadalajara, Guadalajara, Mexico

2Beni-Suef University, Beni Suef, Egypt

3Tijuana Institute of Technology, Tijuana, Mexico


Fuzzy Swarm Intelligence and its Advances for Real-time Applications

Description

Past research has shown that swarm intelligence (SI) techniques and fuzzy logic (FL) are two useful tools for solving engineering optimization problems in real-time applications. SI is an emerging concept of biologically inspired artificial intelligence based on the collective behavior of social colonies in nature. It studies decentralized and self-organized systems that can move quickly in a coordinated manner. As a group, simple creatures following easy rules can display a high degree of complexity and creativity. There are different types of SI, and their variants in the literature include crow search, social spider, cockroach swarm, bee colonies, hawk hunting, animal herding, bacterial growth, fish schooling, and microbial intelligence. Moreover, fuzzy logic (FL) has shown to be effective in controlling complex processes. Sometimes, even though the encoding scheme is compatible with the problem, the variables used in the FL do not utilize in favor of the problem such as membership function parameters and the number of clusters and initial centroid parameters in fuzzy c-means. Thus, parameter tuning approaches can be incorporated into the swarm-based techniques to handle the problems mentioned above. Similarly, SI algorithms often consume too much computation time due to the stochastic features of their searching approaches, slow convergence speed, and difficulty in achieving global optimal solutions in time.

For these reasons, there is a potential requirement to develop efficient techniques that are able to find solutions under limited resources, time, and money in real-world applications. Aiming at attacking these problems, adaptive fuzzy swarm optimization algorithms are proposed. This model uses the fuzzy system to adaptively adjust the number of agents and the random factors of the SI algorithm and achieves an optimal balance of exploitation and exploration capabilities of the algorithm.

This Special Issue will focus on examining how each of the SI and FL algorithms can be utilized for improving the performance of each other for real industry applications. This Issue will also discuss the capability of SI optimization techniques to obtain the optimal fuzzy system parameters. The above-mentioned topics are followed by tackling practical problems in medical applications, dynamic control, precision in agriculture, pattern recognition, multi-objective benchmarks, and signal processing. The Issue will provide novel guidance for relevant researchers and broaden the perspectives of fuzzy and SI researchers. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Fuzzy and type-2 fuzzy sets
  • Swarm optimization algorithms
  • Networks and communication systems, control systems, and energy systems
  • Autonomous vehicles and vehicle routing problems
  • Improved fuzzy rules for e-health decision support systems
  • Fuzzy swarm intelligence for image and video analysis
  • Fuzzy logic for swarm intelligence parameters optimization
  • Swarm intelligence for fuzzy logic parameters tuning
  • Fuzzy swarm intelligence in agriculture
  • Fuzzy swarm intelligence in medicine
  • Fuzzy swarm intelligence in pattern recognition and object tracking
  • Swarm intelligence for adaptive neuro-fuzzy inference system (ANFIS) model adaption
  • Swarm intelligence and fuzzy logic for classification/regression models
  • Swarm intelligence for reinforcement learning optimization
  • Fuzzy swarm intelligence for deep learning tuning parameters, in pattern recognition, and in dynamic control systems

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9871840
  • - Retraction

Retracted: Swarm Intelligence with Adaptive Neuro-Fuzzy Inference System-Based Routing Protocol for Clustered Wireless Sensor Networks

Computational Intelligence and Neuroscience
  • Special Issue
  • - Volume 2022
  • - Article ID 4377142
  • - Research Article

A Two-Stage Method of Dimensioning and Scheduling Service Providers under Patient Demand Uncertainty

Hajar Shirneshan | Ahmad Sadegheih | ... | Mohammad Mehdi Lotfi
  • Special Issue
  • - Volume 2022
  • - Article ID 9984314
  • - Research Article

N-Cubic q-Rung Orthopair Fuzzy Sets: Analysis of the Use of Mobile App in the Education Sector

Joseph David Madasi | Salma Khan | ... | Ben Sorowen
  • Special Issue
  • - Volume 2022
  • - Article ID 5191758
  • - Research Article

Wild Geese Migration Optimization Algorithm: A New Meta-Heuristic Algorithm for Solving Inverse Kinematics of Robot

Honggang Wu | Xinming Zhang | ... | Xiaonan Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 6726662
  • - Research Article

Modeling the Sustainable Supply Chain Network Design for Food-Agricultural Industries considering Social and Environmental Impacts

Maryamsadat Hashemi Fesharaki | Hossein Safarzadeh
  • Special Issue
  • - Volume 2022
  • - Article ID 5974842
  • - Research Article

Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods

Nasrin Bagheri Mazraeh | Amir Daneshvar | ... | Fereydon Rahnamay Roodposhti
  • Special Issue
  • - Volume 2022
  • - Article ID 8415169
  • - Research Article

A Fuzzy Crew Rostering Model Based on Crew Preferences and Seniorities considering Training Courses: A Robust Optimization Approach

Bahareh Shafipour-Omrani | Alireza Rashidi Komijan | ... | Vahidreza Ghezavati
  • Special Issue
  • - Volume 2022
  • - Article ID 3680419
  • - Research Article

Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction

Feiyang Liu | Panke Qin | ... | Yanyan Fu
  • Special Issue
  • - Volume 2022
  • - Article ID 8148284
  • - Research Article

An Analysis of Algebraic Codes over Lattice Valued Intuitionistic Fuzzy Type-3 -Submodules

Asra Riaz | Sajida Kousar | ... | Gezahagne Mulat Addis
  • Special Issue
  • - Volume 2022
  • - Article ID 4821927
  • - Research Article

Conscious Exploration of Alpha-Cuts in the Parametric Solution of the School Bus Routing Problem with Fuzzy Walking Distance

Eduardo Sánchez-Ansola | Ana C. Pérez-Pérez | ... | Guillermo Sosa-Gómez

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