Rok 2024

• Model Management for Low-Computational-Budget Simulation-Based Optimization of Antenna Structures Using Nature-Inspired Algorithms

  Publikacja

  • A. Pietrenko-Dąbrowska
  • S. Kozieł

  - APPLIED SOFT COMPUTING - Rok 2024

  The primary objective of this study is investigation of the possibilities of accelerating nature-inspired optimization of antenna structures using multi-fidelity EM simulation models. The primary methodology developed to achieve acceleration is a model management scheme which the level of EM simulation fidelity using two criteria: the convergence status of the optimization algorithm, and relative quality of the individual designs...

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Rok 2023

• Ship weather routing featuring w-MOEA/D and uncertainty handling

  Publikacja

  • R. Szłapczyński
  • J. Szłapczyńska
  • R. Vettor

  - APPLIED SOFT COMPUTING - Rok 2023

  The paper presents a new version of evolutionary multi-objective weather routing (WR) for ships taking into account uncertainties of weather forecasts in route optimization. The method applies authors’ w-MOEA/D algorithm: MOEA/D framework incorporating Decision Maker’s (DM) preferences by means of w-dominance relation. Owing to this, DM preferences are taken into account throughout optimization, allowing the process to focus on...

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Rok 2022

• An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes

  Publikacja

  • K. Laddach
  • R. Łangowski
  • T. A. Rutkowski (dawniej: T. Rutkowski)
  • B. Puchalski

  - APPLIED SOFT COMPUTING - Rok 2022

  A problem related to the development of algorithms designed to find the structure of artificial neural network used for behavioural (black-box) modelling of selected dynamic processes has been addressed in this paper. The research has included four original proposals of algorithms dedicated to neural network architecture search. Algorithms have been based on well-known optimisation techniques such as evolutionary algorithms and...

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Rok 2019

• Preference-based evolutionary multi-objective optimization in ship weather routing

  Publikacja

  • J. Szłapczyńska
  • R. Szłapczyński

  - APPLIED SOFT COMPUTING - Rok 2019

  In evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal solutions. Such approach may be applied to multiple real-life problems, including weather routing (WR) of ships. The route should be optimal in terms of passage time, fuel consumption and safety of crew and cargo while taking into account dynamically changing weather conditions. Additionally it must not violate any navigational constraints...

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Rok 2017

• Multi-objective electric distribution network reconfiguration solution using runner-root algorithm

  Publikacja

  • T. Nguyen
  • T. Nguyen
  • A. Truong
  • Q. Nguyen
  • T. Phung
  • P. Anh-Tuan

  - APPLIED SOFT COMPUTING - Rok 2017

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Rok 2016

• Multi-objective optimization of expensive electromagnetic simulation models

  Publikacja

  • S. Kozieł
  • A. Bekasiewicz

  - APPLIED SOFT COMPUTING - Rok 2016

  Vast majority of practical engineering design problems require simultaneous handling of several criteria. For the sake of simplicity and through a priori preference articulation one can turn many design tasks into single-objective problems that can be handled using conventional numerical optimization routines. However, in some situations, acquiring comprehensive knowledge about the system at hand, in particular, about possible...

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