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Higher-Order Quantum-Inspired Genetic Algorithms [PDF]
Annals of computer science and information systems, 2014 This paper presents a theory and an empirical evaluation of Higher-Order Quantum-Inspired Genetic Algorithms. Fundamental notions of the theory have been introduced, and a novel Order-2 Quantum-Inspired Genetic Algorithm (QIGA2) has been presented. Contrary to all QIGA algorithms which represent quantum genes as independent qubits, in higher-order ...
Robert Nowotniak, Jacek Kucharski
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Extending Genetic Algorithms with Biological Life-Cycle Dynamics [PDF]
BiomimeticsIn this paper, we aim to enhance genetic algorithms (GAs) by integrating a dynamic model based on biological life cycles. This study addresses the challenge of maintaining diversity and adaptability in GAs by incorporating stages of birth, growth ...
J. C. Felix-Saul +3 more
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The Annals of Applied Probability, 1996 Here is a new genetic algorithm. It is built by randomly perturbing a two operator crossover-selection scheme. Three conditions of biological relevance are imposed on the crossover. A new selection mechanism is used, which has the decisive advantage of preserving the diversity of the individuals in the population.
Raphaël Cerf
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Population Symmetrization in Genetic Algorithms
Applied Sciences, 2022 The paper presents a memetic modification of the classical genetic algorithm by introducing a cyclic symmetrization of the population, symmetrizing the parental points around the current population leader.
Grzegorz Kusztelak +2 more
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Non-uniform cellular genetic algorithms [PDF]
Компьютерные исследования и моделирование, 2015 In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space.
N. M. Ershov
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Three Proposed Hybrid Genetic Algorithms [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Genetic Algorithm has been hybridized with classical optimization methods. Hybridization has been done in three approaches, by using conjugate gradient algorithm for Fletcher and Reeves, second by using steepest descent method and lastly by creation of ...
Ban Mitras, Nada Hassan
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Fuzzy Approach to Student-Project Allocation (SPA) Problem
IEEE Access, 2019 This paper presents a novel algorithm for solving a Student-Project Allocation problem, a variation of a two-sided matching algorithm, where a large number of students are allocated to numerous projects with limited available allocation places.
V. Paunovic +3 more
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IET Radar, Sonar & Navigation, 2021 The performance of the distributed coherent aperture radar (DCAR) is heavily influenced by the antenna positions. Therefore, an antenna position optimization method is proposed based on the adaptive genetic algorithm with a self‐supervised differential ...
Xiaopeng Yang +5 more
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Comparison Study for Clonal Selection Algorithm and Genetic Algorithm [PDF]
International Journal of Computer Science & Information Technology
(IJCSIT) Vol 4, No 4, August 2012 pp 107-118, 2012 Two metaheuristic algorithms namely Artificial Immune Systems (AIS) and Genetic Algorithms are classified as computational systems inspired by theoretical immunology and genetics mechanisms. In this work we examine the comparative performances of two algorithms.
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Cosmological Parameter Estimation with Genetic Algorithms
Universe, 2023 Genetic algorithms are a powerful tool in optimization for single and multimodal functions. This paper provides an overview of their fundamentals with some analytical examples.
Ricardo Medel-Esquivel +4 more
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