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Algorithms, Volume 12, Issue 5

May 2019 - 25 articles

Cover Story: Current medical deformable image registration (DIR) methods optimize the weighted sums of key objectives of interest (e.g., dissimilarity, deformation magnitude, and guidance error). Having one weight combination that yields high-quality results for any instance of a specific DIR problem (i.e., a class solution) would facilitate the clinical application of DIR. A multi-objective optimization approach for DIR removes the need for manual tuning of the weight combination, providing a set of high-quality trade-off solutions. Here, we employed an evolutionary machine-learning approach to compute a multi-objective class solution for DIR—a set of weight combinations that, when used on any instance of a DIR problem, yields multiple high-quality DIR outcomes. We applied this approach to DIR of breast MRIs. From this set, a preferred DIR outcome can be intuitively selected, potentially facilitating the use of DIR in clinical practice. View this pa

Articles (25)

  • Concept Paper
  • Open Access
2 Citations
4,987 Views
10 Pages

1 May 2019

We describe a simple data structure for storing subsets of { 0 , … , N − 1 } , with N a given integer, which has optimal time performance for all the main set operations, whereas previous data structures are non-optimal for at lea...

  • Article
  • Open Access
22 Citations
4,880 Views
21 Pages

Multi-Metaheuristic Competitive Model for Optimization of Fuzzy Controllers

  • Marylu L. Lagunes,
  • Oscar Castillo,
  • Fevrier Valdez and
  • Jose Soria

28 April 2019

This article describes an optimization methodology based on a model of competitiveness between different metaheuristic methods. The main contribution is a strategy to dynamically find the algorithm that obtains the best result based on the competitiv...

  • Article
  • Open Access
7 Citations
4,520 Views
8 Pages

27 April 2019

In this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrica...

  • Feature Paper
  • Review
  • Open Access
107 Citations
14,077 Views
18 Pages

26 April 2019

Electrical impedance tomography (EIT) has been a hot topic among researchers for the last 30 years. It is a new imaging method and has evolved over the last few decades. By injecting a small amount of current, the electrical properties of tissues are...

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Algorithms - ISSN 1999-4893