Keywords
MathematicsAnt colony optimization algorithmsConvergence (economics)Mathematical optimizationLimit (mathematics)Selection (genetic algorithm)Process (computing)Ant colonyApplied mathematicsComputer scienceArtificial intelligenceMathematical analysis
Affiliated Institutions
Related Publications
A fast and elitist multiobjective genetic algorithm: NSGA-II
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (wher...
Applications of Multi-Objective Evolutionary Algorithms
An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach Us...
Ant colony optimization algorithm and its application to Neuro-Fuzzy controller design
An adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of updating trail information. The algorithm can keep good balance between accelerating ...
Ant Colony Optimization
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have ins...
A New Evolutionary Algorithm for Solving Many-Objective Optimization Problems
In this paper, we focus on the study of evolutionary algorithms for solving multiobjective optimization problems with a large number of objectives. First, a comparative study of...
Publication Info
- Year
- 2006
- Type
- article
- Volume
- 8
- Issue
- 1
- Pages
- 105-133
- Citations
- 66
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
66
OpenAlex
Cite This
Walter J. Gutjahr
(2006).
On the Finite-Time Dynamics of Ant Colony Optimization.
Methodology And Computing In Applied Probability
, 8
(1)
, 105-133.
https://doi.org/10.1007/s11009-006-7291-4
Identifiers
- DOI
- 10.1007/s11009-006-7291-4