4.7 Article

Incomprehensible but Intelligible-in-time logics: Theory and optimization algorithm

期刊

KNOWLEDGE-BASED SYSTEMS
卷 264, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.knosys.2023.110305

关键词

Optimization algorithm; IbI logic; ILA; Biological inspiration; Computational intelligence

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This article introduces a theory called IbI logic, which is a non-logic that may become clear through the learning process of the human brain. The article also presents the IbI Logics Algorithm (ILA) based on this theory and evaluates its performance.
The human mind is a complex biological member with unique abilities. Today, even the most advanced computers cannot do all the brain's calculations in one second. The mind is teachable, and its logic will change based on what it has learned over time. This behavior will be the base of a theory presented in this article, named Incomprehensible but Intelligible-in-time (IbI) Logics. From a mental point of view and according to human knowledge, what it has not learned is a non-logic. However, this may change through time. Meanwhile, the IbI logic is a non-logic that may become an obvious logic in the future. This article has been formed to introduce a side of science to identify IbI logic and organize the mind's scientific idioms. Based on the introduced theory, a new optimization algorithm called IbI Logics Algorithm (ILA) was also presented and compared with some other algorithms. The performance of the proposed algorithm in several constrained and unconstrained examples were evaluated. The results showed the acceptable performance and potential of the ILA for optimization goals.(c) 2023 Elsevier B.V. All rights reserved.

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