Lukasz Kubus

Work place: Department of Computer Science Applications, Kielce University of Technology, Kielce, Poland



Research Interests: Evolutionary Computation, Data Structures and Algorithms, Analysis of Algorithms


Łukasz Kubuś was born in Kielce, Poland in 1990. He received the B.Sc. and M.Sc. degrees from Kielce University of Technology, in 2013 and 2014, respectively.

In 2014, he joined the Department of Computer Science Applications at Kielce University of Technology, as a PhD student. His field of research comprises application of evolutionary algorithms.

Author Articles
Individually Directional Evolutionary Algorithm for Solving Global Optimization Problems Comparative Study

By Lukasz Kubus

DOI:, Pub. Date: 8 Aug. 2015

Limited applicability of classical optimization methods influence the popularization of stochastic optimization techniques such as evolutionary algorithms (EAs). EAs are a class of probabilistic optimization techniques inspired by natural evolution process, witch belong to methods of Computational Intelligence (CI). EAs are based on concepts of natural selection and natural genetics. The basic principle of EA is searching optimal solution by processing population of individuals. This paper presents the results of simulation analysis of global optimization of benchmark function by Individually Directional Evolutionary Algorithm (IDEA) and other EAs such as Real Coded Genetic Algorithm (RCGA), elite RCGA with the one elite individual, elite RCGA with the number of elite individuals equal to population size. IDEA is a newly developed algorithm for global optimization. Main principle of IDEA is to monitor and direct the evolution of selected individuals of population to explore promising areas in the search space. The idea of IDEA is an independent evolution of individuals in current population. This process is focused on indicating correct direction of changes in the elements of solution vector. This paper presents a flowchart, selection method and genetic operators used in IDEA. Moreover, similar mechanisms and genetic operators are also discussed.

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