An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: medical diagnosis applications

SM Mousavi, S Abdullah, STA Niaki… - Knowledge-Based …, 2021 - Elsevier
Uncertainty is a critical factor in medical datasets needed to be overcome for increasing
diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a …

[PDF][PDF] Multi-population-based algorithm with an exchange of training plans based on population evaluation

K Łapa, K Cpałka, M Kisiel-Dorohinicki… - Journal of Artificial …, 2022 - sciendo.com
Abstract Population Based Algorithms (PBAs) are excellent search tools that allow searching
space of parameters defined by problems under consideration. They are especially useful …

A self-adaptive cuckoo search algorithm using a machine learning technique

N Caselli, R Soto, B Crawford, S Valdivia, R Olivares - Mathematics, 2021 - mdpi.com
Metaheuristics are intelligent problem-solvers that have been very efficient in solving huge
optimization problems for more than two decades. However, the main drawback of these …

Clustering-based binarization methods applied to the crow search algorithm for 0/1 combinatorial problems

S Valdivia, R Soto, B Crawford, N Caselli, F Paredes… - Mathematics, 2020 - mdpi.com
Metaheuristics are smart problem solvers devoted to tackling particularly large optimization
problems. During the last 20 years, they have largely been used to solve different problems …

Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool

AK Das, B Pratihar, DK Pratihar - Expert Systems with Applications, 2021 - Elsevier
In general, fuzzy reasoning tool with Mamdani approach has good readability, but low
accuracy; whereas the same with Takagi and Sugeno's approach ensures high accuracy but …

A population-based algorithm with the selection of evaluation precision and size of the population

K Cpałka, A Słowik, K Łapa - Applied Soft Computing, 2022 - Elsevier
In this paper, a new nature-inspired hybrid population-based algorithm is proposed. Firstly,
during its operation, it changes the size of the population to reduce the number of processed …

Evolutionary algorithm for selecting dynamic signatures partitioning approach

M Zalasiński, Ł Laskowski… - Journal of Artificial …, 2022 - sciendo.com
In the verification of identity, the aim is to increase effectiveness and reduce involvement of
verified users. A good compromise between these issues is ensured by dynamic signature …

Detecting visual objects by edge crawling

R Grycuk, A Wojciechowski, W Wei… - Journal of Artificial …, 2020 - sciendo.com
Content-based image retrieval methods develop rapidly with a growing scale of image
repositories. They are usually based on comparing and indexing some image features. We …

Image features extractor based on hybridization of fuzzy controller and meta-heuristic

D Połap, M Woźniak - … conference on fuzzy systems (FUZZ-IEEE …, 2021 - ieeexplore.ieee.org
The image recognition task is one of the fundamental aspects of image and video analysis.
Recognition of individual objects allows for further inference or analysis. Unfortunately, quite …

A multi-population-based algorithm with different ways of subpopulations cooperation

K Cpałka, K Łapa, L Rutkowski - International Conference on Artificial …, 2022 - Springer
Metaheuristic methods are designed to solve continuous and discrete problems. Such
methods include population based algorithms (PBAs). They are distinguished by the …