posted by organizer: atzanetos || 1551 views || tracked by 1 users: [display]

NIA2NIA CEC 2021 : Special Session on CEC 2021: Nature-Inspired Intelligence at the service of Nature-Inspired Intelligence


When N/A
Where Kraków, Poland
Submission Deadline Jan 31, 2021
Notification Due Mar 22, 2021
Final Version Due Apr 7, 2021
Categories    nature-inspired algorithms   real-world problems   premature convergence   hybridization and adaptation

Call For Papers

The last decade, the number of new stochastic nature-inspired algorithms has grown exponentially. The majority of these algorithms does not consist of a new optimization approach, but seems a lot similar to established ones, like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) or Differential Evolution (DE). In contrast, a few studies noted this fact and suggested to hybridize and adapt the existing techniques instead of looking for a new inspiration. On that basis, a good practice would be to use the mechanisms of an algorithm to enhance the performance or to overcome the drawbacks of another one. For example, the scatter mechanism of Mine Blast Algorithm could be used to enhance diversification of solutions of PSO, in order to overcome trapping in local optima.

This Special Session focuses on the investigation of mechanisms included in stochastic nature-inspired (or meta-heuristic) algorithms that could be used to modify the algorithmic process of another nature-inspired algorithm. The aim is to enhance the performance of existing nature-inspired algorithms and also, overcome drawbacks of the Vanilla algorithm, such as premature convergence and local optima trapping.

Furthermore, the proposal of such a modification to produce an even better method to solve a real-world application is encouraged. However, testing on CEC benchmark problems and functions is legitimate. In any case, non-parametric tests and appropriate tests to support the initial research hypothesis are needed.

This Special Session considers Nature-Inspired Algorithms based on the definition given by (K. C. B. Steer, A. Wirth, and S. K. Halgamuge, 2009): “The term nature refers to any part of the physical universe which is not a product of intentional human design”. Proposals of new methods are not encouraged and also, the study of algorithms that do not fall within the above definition (e.g. social-inspired approaches) should be avoided.

Topics of interest include, but are not limited to:
- Implementation of mechanisms that are part of nature-inspired algorithms
- Hybridization and adaptation of algorithms
- Premature convergence
- Exploration/exploitation balance
- Applications of modified nature-inspired on real-world problems
- Theoretical analysis of new nature-inspired algorithms

Related Resources

ICANN 2024   33rd International Conference on Artificial Neural Networks
Call for Abstracts Springer Book 2024   Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges
PPSN 2024   18th International Conference on Parallel Problem Solving From Nature
FICIMA 2024   1st Workshop on Forest-Inspired Computational Intelligence Methods and Applications
Architecture Unlocks Nature 2024   Architecture Unlocks Nature. European Research Conference on Design and Ecological Transition
Informed ML for Complex Data@ESANN 2024   Informed Machine Learning for Complex Data special session at ESANN 2024
EAI BICT 2024   15th EAI International Conference on Bio-inspired Information and Communications Technologies
SAMLA 2024   Special Session on Applied and Theoretical Linguistics
XR for the Metaverse 2024   IEEE MetroXRAINE 2024 - Special Session on Extended Reality as a gateway to the Metaverse
AIFE 2024   2nd Special Session on Applied Informatics in Finance and Economics