Description

The International Journal of Swarm Intelligence Research (IJSIR) serves as a forum for facilitating and enhancing the information sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. Targeting at researchers, academicians, students, and engineers, this journal provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications.

Topics Covered

    Ant colony optimization
    Applications in bioengineering
    Applications in bioinformatics
    Applications in business
    Applications in control systems
    Applications in data mining and data clustering
    Applications in decision making
    Applications in distributed computing
    Applications in evolvable hardware
    Applications in finance and economics
    Applications in games
    Applications in graph partitioning
    Applications in information security
    Applications in machine learning
    Applications in planning and operations in industrial systems, transportation systems, and other systems
    Applications in power system
    Applications in supply-chain management
    Applications in wireless sensor networks
    Artificial Immune System
    Brain storm optimization algorithms
    Constrained optimization
    Culture algorithm
    Developmental swarm intelligence
    Differential Evolution
    Fireworks algorithm
    Foraging algorithm
    Large scale optimization problems
    Modeling and analysis of biological collective systems such as social insects colonies, school, and flocking vertebrates
    Multi-Objective Optimization
    Optimization in dynamic and uncertain environment
    Other nature-inspired optimization algorithms
    Particle Swarm Optimization
    Scheduling and timetabling
    Swarm Robotics

Mission and Scope

The mission of the International Journal of Swarm Intelligence Research (IJSIR) is to become a leading international and well-referred journal in swarm intelligence, nature-inspired optimization algorithms, and their applications. This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among researchers in swarm intelligence research areas ranging from algorithm developments to real-world applications.