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 This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among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.