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International Journal of Artificial Intelligence Tools is a peer-reviewed journal published by World Scientific, covering Semantic Web and Ontologies, Metaheuristic Optimization Algorithms Research, Constraint Satisfaction and Optimization.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Artificial Intelligence Tools 12, 45–58 (2023).
Formats any DOI in the closest standard style — International Journal of Artificial Intelligence Tools has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Semantic Web and Ontologies Metaheuristic Optimization Algorithms Research Constraint Satisfaction and Optimization Natural Language Processing Techniques Neural Networks and Applications |
| ISSN | 0218-2130 |
| Citation impact (2-yr) | 0.78 |
| h-index | 55 |
| i10-index | 417 |
| Total citations | 16,331 |
| Top institutions publishing here | University of Patras |
| Journal website | www.worldscinet.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Argumentation theory involves the analysis of naturally occurring argument, and one key tool employed to this end both in the academic community and in teaching critical thinking skills to undergraduates is argument diagramming. By identifying the structure of an argument in terms of its constituents and the relationships between them, it becomes easier to critically…
This article presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts. The LEADSTO language is a declarative order-sorted temporal language, extended with quantitative notions like integer and real. Dynamic processes can be modelled in LEADSTO by specifying the direct…
In this paper, we propose a metaheuristic to solve the pickup and delivery problem with time windows. Our approach is a tabu-embedded simulated annealing algorithm which restarts a search procedure from the current best solution after several non-improving search iterations. The computational experiments on the six newly-generated different data sets marked our algorithm as the…
The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the field of transportation engineering are discussed. The Bee System represents the new, successful application of emergent techniques…
The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto-optimal solutions in a single run. Differential Evolution (DE) is an EA that was developed to handle optimization problems…
