Symmetry in Intelligent Algorithms

Dear Colleagues,

We are delighted to announce the launch of a new Special Issue entitled "Symmetry in Intelligent Algorithms". Intelligent Algorithms, which range from machine learning to evolutionary computation, are pivotal in modern computing.  However, challenges persist in understanding their intricacies, ensuring fairness, and maximizing efficiency. From swarm intelligence to evolutionary computation and machine learning, symmetry can be leveraged to optimize algorithmic behavior, streamline computational processes, and enhance the quality of solutions.  Understanding and harnessing symmetry can lead to more robust, scalable, and interpretable algorithms. This Special Issue aims to explore the integration of symmetry into the design and application of intelligent algorithms.  It seeks to connect researchers, practitioners, and experts to discuss novel approaches, theoretical foundations, and real-world applications.  By providing a platform for sharing insights and fostering collaboration, this Special Issue seeks to advance the understanding and application of symmetry in intelligent algorithms, addressing current challenges and setting the stage for future developments. Below is an outline of topics, key areas of interest, and the significance of this Special Issue. 

• Fundamentals and Theoretical Advances
  • Theoretical foundations and mathematical modeling of swarm intelligence and evolutionary algorithms.
  • Comparative analyses and benchmarks of different swarm and evolutionary algorithms.
  • Hybrid models combining swarm intelligence with evolutionary computation or other optimization techniques.
  • Convergence analysis and performance metrics for swarm and evolutionary algorithms. 
• Algorithm Design and Optimization
  • Novel swarm intelligence algorithms (e.g., Ant Colony Optimization, Particle Swarm Optimization, Artificial Bee Colony).
  • Innovative evolutionary computation techniques (e.g., Genetic Algorithms, Genetic Programming, Differential Evolution).
  • Enhancements and modifications to existing algorithms to enhance performance and robustness.
  • Parallel and distributed implementations of swarm and evolutionary algorithms.
• Applications in Engineering and Industry
  
  • Applications in robotics, including multi-robot systems, path planning, and control.
  • Use of swarm and evolutionary algorithms in manufacturing, logistics, and supply chain optimization.
  • Optimization of telecommunications and network design.
  • Applications in energy systems, including smart grids, renewable energy, and resource management.
  • Data Science and Artificial Intelligence 
• Machine learning and data mining using swarm intelligence and evolutionary algorithms.
  • Feature selection, parameter tuning, and model optimization.
  • Applications in natural language processing and text mining.
  • Image and video analysis using evolutionary and swarm-based approaches.
  • Symmetry in Swarm Intelligence 
• Behavioral symmetry in intelligence algorithms.
  • Spatial symmetry in swarm formations and movement patterns.
  • Communication symmetry and its effects on information dissemination and coordination.l  Symmetrical task allocation and role distribution in swarm systems.
  • Symmetry in Evolutionary Computation
  • Symmetric crossover, mutation, and other genetic operations.
  • Fitness evaluation symmetry and its impact on evolutionary search efficiency.
  • Symmetry-breaking techniques that avoid local optima and enhance diversity.
  • Symmetry in Machine Learning Algorithms
  • Data augmentation and transformation using symmetrical properties.
  • Group-equivariant neural networks and applications in pattern recognition.
  • Symmetry in training, optimization, and regularization techniques.

Dr. Hongwei Kang
Dr. Xinping Sun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• swarm intelligence
• evolutionary computation
• machine learning
• behavioral symmetry
• spatial symmetry
• genetic algorithms
• particle swarm optimization
• ant colony optimization
• artificial bee colony
• genetic programming
• differential evolution
• neural networks
• group-equivariant neural networks
• symmetry in neural architectures
• fitness evaluation
• hybrid algorithms
• natural language processing
• text analysis
• bioinformatics
• environmental modeling
• optimization problems
• algorithm performance
• scalability
• convergence analysis
• diversity in algorithms
• hybrid approaches
• real-world applications
• symmetry