(Field of Science):
- Automation, electronic and electrical engineering (Engineering and Technology)
- Information and communication technology (Engineering and Technology)
- Biomedical engineering (Engineering and Technology)
- Environmental engineering, mining and energy (Engineering and Technology)
- Computer and information sciences (Natural sciences)
- Mathematics (Natural sciences)
- Physical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
|Year 2023||100||Ministry Scored Journals List 2019|
|2023||100||Ministry Scored Journals List 2019|
|2022||100||Ministry Scored Journals List 2019|
|2021||100||Ministry Scored Journals List 2019|
|2020||100||Ministry Scored Journals List 2019|
|2019||100||Ministry Scored Journals List 2019|
Papers published in journal
Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streamsPublication
Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cachePublication
This paper presents the architecture, main components and performance results for a parallel and modu-lar agent-based environment aimed at crowd simulation. The environment allows to simulate thousandsor more agents on maps of square kilometers or more, features a modular design and incorporates non-volatile RAM (NVRAM) with a fail-safe mode that can be activated to allow to continue computationsfrom a recently analyzed state in...
Generating optimal paths in dynamic environments using RiverFormation Dynamics algorithmPublication
The paper presents a comparison of four optimisation algorithms implemented for the purpose of finding the shortest path in static and dynamic environments with obstacles. Two classical graph algorithms –the Dijkstra complete algorithm and A* heuristic algorithm – were compared with metaheuristic River Formation Dynamics swarm algorithm and its newly introduced modified version. Moreover, another swarm algorithm has been compared...
A Multi-Fidelity Surrogate-Model-Assisted Evolutionary Algorithm for Computationally Expensive Optimization ProblemsPublication
Integrating data-driven surrogate models and simulation models of different accuracies (or fideli-ties) in a single algorithm to address computationally expensive global optimization problems has recently attracted considerable attention. However, handling discrepancies between simulation models with multiple fidelities in global optimization is a major challenge. To address it, the two major contributions of this paper include:...
Aerodynamic shape optimization by variable-fidelity computational fluid dynamics models: a review of recent progressPublication
A brief review of some recent variable-fidelity aerodynamic shape optimization methods is presented.We discuss three techniques that—by exploiting information embedded in low-fidelity computationalfluid dynamics (CFD) models—are able to yield a satisfactory design at a low computational cost, usu-ally corresponding to a few evaluations of the original, high-fidelity CFD model to be optimized. Thespecific techniques considered here...
Efficient knowledge-based optimization of expensive computational models using adaptive response correctionPublication
Computer simulation has become an indispensable tool in engineering design as they allow an accurate evaluation of the system performance. This is critical in order to carry out the design process in a reliable manner without costly prototyping and physical measurements. However, high-fidelity computer simulations are computationally expensive. This turns to be a fundamental bottleneck when it comes to design automation using numerical...
Optimal shape design of multi-element trawl-doors using local surrogate modelsPublication
Trawl-doors have a large influence on the fuel consumption of fishing vessels. Design and optimiza-tion of trawl-doors using computational models are a key factor in minimizing the fuel consump-tion. This paper presents an optimization algorithm for the shape design of trawl-door shapes using computational fluid dynamic (CFD) models. Accurate CFD models are computationally expensive. Therefore, the direct use of traditional optimization...
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