Mateusz Dziedzic
Czasopismo Techniczne, Automatyka Zeszyt 1-AC (25) 2012, 2012, s. 1-1
https://doi.org/10.4467/2353737XCT.14.006.1783Nowadays, due to the growing dimensionality of optimisation problems, numerous studies are dedicated to reduction of metaheuristics computational requirements. Reducing size of the population during optimisation process is one of the promising research trends in the field of Evolutionary Algorithms. The purpose of this paper is to clarify the subject in form of a survey of population size reduction methods already proposed and to present preliminary results of a new method based on the clustering technique. Introduced method was implemented in the framework of Differential Evolution algorithm and verified on a set of real-parameter benchmark functions.
Mateusz Dziedzic
Czasopismo Techniczne, Automatyka Zeszyt 4-AC (12) 2013, 2013, s. 117-127
https://doi.org/10.4467/2353737XCT.14.052.3960Bipolar linguistic summaries of data are assumed to be an extension of the ‘classical’ linguistic summarization, a data mining technique revealing complex patterns present in data in a human consistent form. The extension proposal is based on the possibilistic interpretation of the ‘and possibly’ operator and introduced notion of context, which results in the introduction of the new ‘contextual and possibly’ operator. As the end user is expecting the most relevant summaries, ways of determining the quality of summary propositions (quality measures) needs to be developed. Here we focus on specific insights into the quality measures of proposed bipolar linguistic summaries of data and present some basic examples of their correctness and necessity of introduction.