SIDE 2012 - Symposium on Swarm Intelligence and Differential Evolution

Swarm Intelligence (SI) is a computational intelligence technique which mimics and makes use of the collective behavior (e.g. fish, birds, bees, ants, bacteria etc.) for solving search and optimization problems. The resulting algorithms are thus population-based systems of simple individuals interacting with one another and with their environment. Differential Evolution (DE) is a special example of optimizer since it shares some features with SI, mainly in the interaction amongst particles and selection scheme, but can also be considered as an Evolutionary Algorithm (EA). This symposium gathers new theoretical and implementation results, applications, reviews, and comparative studies. A special emphasis will be given on those studies which attempt to explain the working principles of the algorithms.

Authors are invited to submit their original and unpublished work in the areas including, but not limited to, the following.

Algorithms:
-Differential Evolution
-Particle Swarm Optimization
- Ant Colony Optimization
- Bees Algorithms
- Bacteria Foraging Optimization
-Artificial Immune System
-DNA Computing
-Organic Computing
-Quantum Computing
-Social Evolution
-Stochastic Diffusion Search
-Swarm Robotics
-Memetic Computing
-Hybridization DE/SI with other methods

Theoretical/Implementation Aspects:
-Novel operators
-Adaptation
-Convergence
-Randomization of components
-Structured Population
-Hybridization of global optimizers

Problem Scenarios:
-Constrained Optimization
-Multimodal Optimization
-Multi-objective Optimization and Decision Making
-Combinatorial Optimization
-Discrete/Binary Optimization
-Continuous Optimization
-Noisy and Dynamic Fitness
-Large Scale Problems
-Computationally Expensive Fitness

Applications (of SI and DE):
-Engineering and control systems
-Bio-informatics
-Business and Economics
-Data Mining and Clustering
-Scheduling and Time-tabling
-Supply Chain Management
-Games
-Image Analysis
-Signal Processing
-Wireless Sensor Networks

The accepted papers will be published on the Springer Lecture Notes in Artificial Intelligence.

The best papers presented at the symposium will be published, in an extended version, on the Elsevier Journal “Swarm and Evolutionary Computation”