Szczegóły publikacji

Opis bibliograficzny

Understanding measure-driven algorithms solving irreversibly ill-conditioned problems / Jakub SAWICKI, Marcin ŁOŚ, Maciej SMOŁKA, Robert SCHAEFER // Natural Computing ; ISSN  1567-7818 . — 2022 — vol. 21 iss. 2 spec. iss.: Understanding of Evolutionary Optimization Behavior, Pt. 2, s. 289–315. — Bibliogr. s. 313–315, Abstr. — Publikacja dostępna online od: 2021-02-20

Autorzy (4)

Słowa kluczowe

measure-driven algorithmsirreversibly ill-conditioned problemsMarkov chain modelling

Dane bibliometryczne

ID BaDAP140693
Data dodania do BaDAP2022-06-30
Tekst źródłowyURL
DOI10.1007/s11047-020-09836-w
Rok publikacji2022
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaNatural Computing

Abstract

The paper helps to understand the essence of stochastic population-based searches that solve ill-conditioned global optimization problems. This condition manifests itself by presence of lowlands, i.e., connected subsets of minimizers of positive measure, and inability to regularize the problem. We show a convenient way to analyze such search strategies as dynamic systems that transform the sampling measure. We can draw informative conclusions for a class of strategies with a focusing heuristic. For this class we can evaluate the amount of information about the problem that can be gathered and suggest ways to verify stopping conditions. Next, we show the Hierarchic Memetic Strategy coupled with Multi-Winner Evolutionary Algorithm (HMS/MWEA) that follow the ideas from the first part of the paper. We introduce a complex, ergodic Markov chain of their dynamics and prove an asymptotic guarantee of success. Finally, we present numerical solutions to ill-conditioned problems: two benchmarks and a real-life engineering one, which show the strategy in action. The paper recalls and synthesizes some results already published by authors, drawing new qualitative conclusions. The totally new parts are Markov chain models of the HMS structure of demes and of the MWEA component, as well as the theorem of their ergodicity.

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