The International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) (ISSN: 2090-4894)

Description

The International Journal of Swarm Intelligence and Evolutionary Computation (IJSIEC) seeks to provide an opportunity for researchers from computer science, engineering, and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging fields of swarm Intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications. Swarm Intelligence (SI) is a computational intelligence technique involving the study of collective behavior in decentralized systems. Such systems are made up by a population of simple individuals interacting locally with one another and with their environment. Although there is typically no centralized control dictating the behavior of the individuals, local interactions among individuals often cause a global pattern to emerge. Examples of systems like this can be found in nature, including ant colonies, bird flocking, animal herding, honey bees, and many more.

The journal publishes both theoretical and practical developments of computational systems drawing their inspiration from nature, with particular emphasis on swarm intelligence (SI) and evolutionary algorithms (EAs).

The journal publishes research papers, reports of experimental investigations, case studies, historical surveys, and selected review articles that address the following topics:

Evolutionary Programming and Evolution Strategies.
Modeling and Analysis of Particle Swarm Optimization.
Culture Algorithm (CA).
Swarm Robotics (SR).
Evolvable Hardware (EH).
Optimization Techniques in Dynamic, Multiobjective, Constrained Environment.
Modeling and Analysis of Biological Collective Systems such as Social Insects Colonies, School and Flocking Vertebrates.
Genetic Algorithms, Genetic Programming.
Artificial Immune Systems (AISs).
Particle Swarm Optimization (PSO).
Ant Colony Optimization (ACO) and Ant Systems.
Bacterial Foraging Algorithms (BFAs).
Harmony Search (HS), Cultural Algorithms.
Artificial Bees and Fireflies Algorithm.
Artificial Life and Digital Organisms.
Learning Classifier Systems.
Estimation of Distribution Algorithms (EDAs).
Stochastic Diffusion Search (SDS).
Self-Organization in Swarms.
Adaptation in Evolutionary Systems.
Quantum and Nanocomputing.
Common Sense Computing.
Membrane Computing.
Distributed computing, Data Clustering, Graph Partitioning, and Decision Making Based on Swarm Intelligence Principles.
Theory and Practice of Swarm Intelligence in Control System, Power System, Bioinformatics, Business and Finance, Supply-Chain Management, Transportation Systems, and Other Areas.
Rough sets, logic and mathematical framework.