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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 ...
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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Proceedings of the Genetic and Evolutionary Computation Conference, 2017 For genetic algorithms using a bit-string representation of length~$n$, the general recommendation is to take $1/n$ as mutation rate. In this work, we discuss whether this is really justified for multimodal functions. Taking jump functions and the $(1+1)$
Doerr, Benjamin +3 more
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The Annals of Applied Probability, 1996 Summary: Here is a new genetic algorithm. It is built by perturbing randomly a two operator crossover-selection scheme. A new selection mechanism is used. The random vanishing perturbations are twofold: local perturbations of the individuals (mutations) and loosening of the selection pressure.
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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Memory-based immigrants for genetic algorithms in dynamic environments [PDF]
, 2005 Copyright @ 2005 ACMInvestigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent years.
Yang, S
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Genetic algorithms: a pragmatic, non-parametric approach to exploratory analysis of questionnaires in educational research [PDF]
, 1999 Data from a survey to determine student attitudes to their courses are used as an example to show how genetic algorithms can be used in the analysis of questionnaire data.
Andrew D. Madden +3 more
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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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