Bibliographic record
Abstract
This volume of Fundamenta Informaticae (FI) contains papers for a special issue on swarm intelligence as well as regular papers contributed to FI.Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems, which is originally inspired from the biological examples by swarming, flocking and herding phenomena in vertebrates.In the literature, it possible to locate different variants of Swarm Intelligence paradigms.The most popular paradigms are Particle Swarm Optimization (PSO), which incorporates swarming behaviors observed in flocks of birds, schools of fish, or swarms of bees and the Ant Colony Optimization (ACO) algorithm inspired by the foraging behaviour of real ants.This volume contains articles introducing advances in the foundations and applications of swarm intelligence.These advances have significant implications in a number of research areas such as constrained optimization problems, fast corner detection in gray-level images, harmony search algorithm, measuring resemblances between swarm behaviours, multiple-objective flexible job-shop scheduling, object tracking, and particle swarm optimization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".