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An evolutionary algorithm (EA) is developed as an alternative to the EM algorithm for parameter estimation in model-based clustering. This EA facilitates a different search of the fitness landscape, i.e., the likelihood surface, utilizing…

Computation · Statistics 2020-06-09 Sharon M. McNicholas , Paul D. McNicholas , Daniel A. Ashlock

In this work we approach three-dimensional evolution algebras from certain constructions performed on two-dimensional algebras. More precisely, we provide four different constructions producing three-dimensional evolution algebras from…

An (n,d) permutation array (PA) is a set of permutations of length n with the property that the distance (under some metric) between any two permutations in the array is at least d. They became popular recently for communication over power…

Information Theory · Computer Science 2009-07-16 Torleiv Kløve , Te-Tsung Lin , Shi-Chun Tsai , Wen-Guey Tzeng

The paper is devoted to study new classes of chains of evolution algebras and their time-depending dynamics. Moreover, we construct some Rote-Baxter operators of such algebras.

Rings and Algebras · Mathematics 2019-06-24 Manuel Ladra , Sherzod N. Murodov

Consider a bisexual population such that the set of females can be partitioned into finitely many different types indexed by $\{1,2,\dots,n\}$ and, similarly, that the male types are indexed by $\{1,2,\dots,\nu \}$. Recently an evolution…

Dynamical Systems · Mathematics 2016-01-05 A. Dzhumadil'daev , B. A. Omirov , U. A. Rozikov

We study the space of derivations for some finite-dimensional evolution algebras, depending on the twin partition of an associated directed graph. For evolution algebras with a twin-free associated graph we prove that the space of…

Rings and Algebras · Mathematics 2019-12-17 Yolanda Cabrera Casado , Paula Cadavid , Mary Luz Rodiño Montoya , Pablo M. Rodriguez

In this paper we give classification of two-dimensional real evolution algebras. For several chains of evolution algebras we study their classification dynamics.

Dynamical Systems · Mathematics 2013-05-30 Sh. N. Murodov

We consider a class of space-time coupled evolution equations (CEEs), obtained by a subordination of the heat operator. Our CEEs reformulate and extend known governing equations of non-Markovian processes arising as scaling limits of…

Analysis of PDEs · Mathematics 2019-03-12 John Herman , Ifan Johnston , Lorenzo Toniazzi

Evolutionary algorithms (EAs), a large class of general purpose optimization algorithms inspired from the natural phenomena, are widely used in various industrial optimizations and often show excellent performance. This paper presents an…

Neural and Evolutionary Computing · Computer Science 2014-04-14 Yang Yu , Hong Qian

Continual Lie algebras are infinite-dimensional generalizations of Lie algebras with discrete root system by considering continual root systems. In this paper we establish the general relation between chain complexes and continual Lie…

Functional Analysis · Mathematics 2026-05-20 A. Zuevsky

We suggest the method for group classification of evolution equations admitting nonlocal symmetries which are associated with a given evolution equation possessing nontrivial Lie symmetry. We apply this method to second-order evolution…

Exactly Solvable and Integrable Systems · Physics 2009-07-13 Renat Zhdanov

In this paper we define and study dimension generalized effect algebras (DGEAs), i.e., Dedekind orthocomplete and centrally orthocomplete generalized effect algebras equipped with a dimension equivalence relation. Our theory is a bona fide…

Mathematical Physics · Physics 2012-06-15 David J. Foulis , Sylvia Pulmannova

Permutations that avoid given patterns have been studied in great depth for their connections to other fields of mathematics, computer science, and biology. From a combinatorial perspective, permutation patterns have served as a unifying…

Combinatorics · Mathematics 2023-06-22 Sylvie Corteel , Megan A. Martinez , Carla D. Savage , Michael Weselcouch

Evolution algebras are a new type of non-associative algebras which are inspired from biological phenomena. A special class of such algebras, called Markov evolution algebras, is strongly related to the theory of discrete time Markov…

Rings and Algebras · Mathematics 2018-12-31 Paula Cadavid , Mary Luz Rodiño Montoya , Pablo M. Rodríguez

A permutation on an alphabet $ \Sigma $, is a sequence where every element in $ \Sigma $ occurs precisely once. Given a permutation $ \pi $= ($\pi_{1} $, $ \pi_{2} $, $ \pi_{3} $,....., $ \pi_{n} $) over the alphabet $ \Sigma $ =$\{ $0, 1,…

Discrete Mathematics · Computer Science 2016-01-19 Bhadrachalam Chitturi , Krishnaveni K S

We described all transposed Poisson algebra structures on oscillator Lie algebras, i.e., on one-dimensional solvable extensions of the $(2n+1)$-dimensional Heisenberg algebra; on solvable Lie algebras with naturally graded filiform…

Rings and Algebras · Mathematics 2024-03-29 Ivan Kaygorodov , Abror Khudoyberdiyev

We use algebraic geometry to study the anomaly-free representations of an arbitrary gauge Lie algebra for 4-dimensional spacetime fermions. For irreducible representations, the problem reduces to studying the Lie algebras $\mathfrak{su}_n$…

High Energy Physics - Theory · Physics 2025-03-25 Ben Gripaios , Khoi Le Nguyen Nguyen

This is an extended version of a communication made at the international conference ``Noncommutative Geometry and Physics'' held at Orsay in april 2007. In this proceeding, we make a review of some noncommutative constructions connected to…

Mathematical Physics · Physics 2008-11-26 Thierry Masson

A permutation array(or code) of length $n$ and distance $d$, denoted by $(n,d)$ PA, is a set of permutations $C$ from some fixed set of $n$ elements such that the Hamming distance between distinct members $\mathbf{x},\mathbf{y}\in C$ is at…

Information Theory · Computer Science 2008-01-28 Lizhen Yang , Ling Dong , Kefei Chen

Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning based on local gradient signals. This often results in…

Neural and Evolutionary Computing · Computer Science 2025-10-13 Yaxin Shi , Abhishek Gupta , Ying Wu , Melvin Wong , Ivor Tsang , Thiago Rios , Stefan Menzel , Bernhard Sendhoff , Yaqing Hou , Yew-Soon Ong