SIS 2017 - 2017 IEEE Swarm Intelligence Symposium(IEEE SIS' 17)

2017 IEEE Swarm Intelligence Symposium (SIS 2017) will be held in Honolulu, Hawaii, in November 2017. It will be a part of the IEEE Symposium Series on Computational Intelligence 2017, which consists of over 30 symposia. The theme of the SIS 2017 is to provide a platform for researchers, academicians, students, engineers, and government officers from all over the world to share and exchange information in the swarm intelligence research areas ranging from algorithm development to real-world applications. Authors are invited to submit their original and unpublished work related to swarm intelligence, including research, theory, development, and applications.
Topics
Topics covered by the SIS 2017 include, but are not limited to, the following:
Ant Colony Optimization
Artificial Immune System
Artificial Life
Bacterial Foraging Optimization
Bees Algorithm
Brain Storm Optimization Algorithms
Culture Algorithm
DNA Computing
Fireworks Algorithms
Particle Swarm Optimization
Quantum Computing
Social Evolution
Stochastic Diffusion Search (SDS)
Swarm Robotics
All swarm inspired algorithms
Hybridization with swarm inspired algorithms
Swarm Intelligence Algorithms' Applications in:
constrained optimization, large scale optimization problems, multi-objective optimization, multi-modal optimization, memetic algorithms, dynamic and uncertain environment, expensive optimization, many objectives
bioengineering
bioinformatics
business
control systems
data mining and data clustering
decision making
distributed computing
evolvable hardware
finance and economics
games graph partitioning
information security
machine learning
planning and operations in industrial systems, transportation systems, and other systems
power system
Scheduling and timetabling
supply-chain management
wireless sensor networks
and all other applications