Relevant bibliographies by topics / Mutation over operator

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Academic literature on the topic 'Mutation over operator'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Mutation over operator"

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Jain, Vinod, and Jay Shankar Prasad. "SCDT: FC-NNC-structured Complex Decision Technique for Gene Analysis Using Fuzzy Cluster based Nearest Neighbor Classifier." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4519–23. https://doi.org/10.11591/ijece.v8i6.pp4519-4523.

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N-queen problem represents a class of constraint problems. It belongs to set of NP-Hard problems. It is applicable in many areas of science and engineering. In this paper N-queen problem is solved using genetic algorithm. A new genetic algoerithm is proposed which uses greedy mutation operator. This new mutation operator solves the N-queen problem very quickly. The proposed algorithm is applied on some instances of N-queen problem and results outperforms the previous findings
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Jansen, Thomas, and Dirk Sudholt. "Analysis of an Asymmetric Mutation Operator." Evolutionary Computation 18, no. 1 (2010): 1–26. http://dx.doi.org/10.1162/evco.2010.18.1.18101.

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Evolutionary algorithms are general randomized search heuristics and typically perform an unbiased random search that is guided only by the fitness of the search points encountered. However, in applications there is often problem-specific knowledge that suggests some additional bias. The use of appropriately biased variation operators may speed up the search considerably. Problems defined over bit strings of finite length often have the property that good solutions have only very few 1-bits or very few 0-bits. A mutation operator tailored toward such situations is studied under different persp
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ul Haq, Ehtasham, Ishfaq Ahmad, and Ibrahim M. Almanjahie. "A Novel Parent Centric Crossover with the Log-Logistic Probabilistic Approach Using Multimodal Test Problems for Real-Coded Genetic Algorithms." Mathematical Problems in Engineering 2020 (October 31, 2020): 1–17. http://dx.doi.org/10.1155/2020/2874528.

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In this paper, a comprehensive empirical study is conducted to evaluate the performance of a new real-coded crossover operator called Fisk crossover (FX) operator. The basic aim of the proposed study is to preserve population diversity as well as to avoid local optima. In this context, a new crossover operator is designed and developed which is linked with Log-logistic probability distribution. For its global performance, a realistic comparison is made between FX versus double Pareto crossover (DPX), Laplace crossover (LX), and simulated binary crossover (SBX) operators. Moreover, these crosso
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Hou, Wei, HongBin Dong, and GuiSheng Yin. "Co-Evolutionary Algorithms Based on Mixed Strategy." Journal of Information Technology Research 4, no. 2 (2011): 17–30. http://dx.doi.org/10.4018/jitr.2011040102.

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Inspired by evolutionary game theory, this paper modifies previous mixed strategy framework, adding a new mutation operator and extending to crossover operation, and proposes co-evolutionary algorithms based on mixed crossover and/or mutation strategy. The mixed mutation strategy set consists of Gaussian, Cauchy, Levy, single point and differential mutation operators; the mixed crossover strategy set consists of cuboid, two-points and heuristic crossover operators. The novel algorithms automatically select crossover and/or mutation operators from a given mixed strategy set, and improve the evo
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Hong, Libin, Chenjian Liu, Jiadong Cui, and Fuchang Liu. "Mutation Strategy Based on Step Size and Survival Rate for Evolutionary Programming." Discrete Dynamics in Nature and Society 2021 (October 15, 2021): 1–13. http://dx.doi.org/10.1155/2021/1336929.

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Evolutionary programming (EP) uses a mutation as a unique operator. Gaussian, Cauchy, Lévy, and double exponential probability distributions and single-point mutation were nominated as mutation operators. Many mutation strategies have been proposed over the last two decades. The most recent EP variant was proposed using a step-size-based self-adaptive mutation operator. In SSEP, the mutation type with its parameters is selected based on the step size, which differs from generation to generation. Several principles for choosing proper parameters have been proposed; however, SSEP still has limit
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Kulikova, I. V. "Application of the variation operator in a genetic algorithm for the synthesis of fuzzy controllers." Herald of Dagestan State Technical University. Technical Sciences 47, no. 4 (2021): 92–100. http://dx.doi.org/10.21822/2073-6185-2020-47-4-92-100.

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Abstract. Objective. This article studies the problem of increasing the efficiency of fuzzy controller synthesis in a control system using a genetic algorithm. The best parameters of the fuzzy controller are selected using the crossing-over and mutation operators in the genetic algorithm. The operation of the mutation operator can lead to the formation of an incorrect set of parameters, which complicates the procedure for synthesizing a fuzzy controller.Methods. Arrays of parameter sets of membership functions, conclusions, and rule weights that are included in the fuzzy controller are compile
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Sahin, Ismet. "Minimization over randomly selected lines." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 3, no. 2 (2013): 111–19. http://dx.doi.org/10.11121/ijocta.01.2013.00167.

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This paper presents a population-based evolutionary optimization method for minimizing a given cost function. The mutation operator of this method selects randomly oriented lines in the cost function domain, constructs quadratic functions interpolating the cost function at three different points over each line, and uses extrema of the quadratics as mutated points. The crossover operator modifies each mutated point based on components of two points in population, instead of one point as is usually performed in other evolutionary algorithms. The stopping criterion of this method depends on the n
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Zuevsky, Alexander. "Cluster algebras based on vertex operator algebras." International Journal of Modern Physics B 30, no. 28n29 (2016): 1640030. http://dx.doi.org/10.1142/s0217979216400300.

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Starting from Zhu recursion formulas for correlation functions for vertex operator algebras with formal parameters associated to local coordinates around marked points on a Riemann surfaces, we introduce a cluster algebra structure over a noncommutative set of variables. Cluster elements and mutation rules are explicitly defined. In particular, we propose an elliptic version of vertex operator cluster algebras arising from correlation functions and Zhu reduction procedure for vertex operators on the torus.
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Ohki, Makoto. "Periodic Mutation Operator for Nurse Scheduling by Using Cooperative GA." International Journal of Applied Evolutionary Computation 3, no. 3 (2012): 1–16. http://dx.doi.org/10.4018/jaec.2012070101.

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This paper proposes an effective mutation operator for Cooperative Genetic Algorithm (CGA) to be applied to a practical Nurse Scheduling Problem (NSP). NSP is a complex combinatorial optimizing problem for which many requirements must be considered. The changes of the shift schedule yields various problems, for example, a drop in the nursing level. The author describes a technique of the reoptimization of the nurse schedule in response to a change. CGA well suits local search, but its failure to handle global search leads to inferior solutions. CGA is superior in ability for local search by me
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Kristiadi, David, and Rudy Hartanto. "Genetic Algorithm for lecturing schedule optimization." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13, no. 1 (2019): 83. http://dx.doi.org/10.22146/ijccs.43038.

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Scheduling is a classic problem in lecturing. Rooms, lecturers, times and scheduling constraints must be managed well to get an optimal schedule. University of Boyolali (UBY) also encounter the same scheduling problems. The problem was tried to be solved by building a library based on Genetic Algorithm (GA). GA is a computation method which inspired by natural selection. The computation consists of some operators i.e. Tournament Selection, Uniform Crossover, Weak Parent Replacement and two mutation operators (Interchanging Mutation and Violated Directed Mutation (VDM)). The two mutation method
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Book chapters on the topic "Mutation over operator"

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Mukhopadhyay, Sumona, Mala Mitra, and Santo Banerjee. "Chaos Synchronization with Genetic Engineering Algorithm for Secure Communications." In Chaos Synchronization and Cryptography for Secure Communications. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-737-4.ch021.

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Sumona Mukhopadhyay, Mala Mitra and Santo Banerjee have proposed a method of digital cryptography inspired from Genetic Algorithm(GA) and synchronization of chaotic delayed system. The chapter introduces a brief idea about the concept of Evolutionary Algorithm(EA) and demonstrates how the potential of dynamical system such as chaos and EA can be utilized in a reliable, efficient and computational cheaper method for secure communication. GA is a subclass of Evolutionary algorithm and as such is governed by the rules of organic evolution. In GA the selection mechanism and both transformation ope
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Lynch, Michael R. "Evolution of Cellular Complexity." In Evolutionary Cell Biology. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780192847287.003.0006.

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Abstract Natural selection is expected to favor simplicity over more complex features, provided their functionality is similar, owing to the increased energetic costs and mutational vulnerability of the latter. However, many aspects of eukaryotic cell biology are overdesigned, particularly in multicellular species. Such evolution can be explained by the operation of constructive neutral evolution in populations of sufficiently small size. Under this hypothesis, the fortuitous development of weakly deleterious gene–product interactions can secondarily mask the more deleterious effects of previo
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Greaves, Mel. "How Cancer Cells Play the Winning Game." In Cancer. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780192628350.003.0008.

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Abstract To generate a fully-fledged or dominant cancer clone, a cell has to subvert multiple rules of engagement and negotiate major evolutionary bottlenecks. For most types of cancer, this is only possible by the accumulation of a set of mutations in genes exercising different, but complementary or interlocking, functions. Because of the statistical rarity of DNA damage creating one of these mutations and because accrual of a set of mutations is only possible by sequential addition, the process can only operate in single cells, or clonally and over an extended period of time. This makes the
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Dhabliya, Dharmesh, Ankur Gupta, Sukhvinder Singh Dari, et al. "Nature-Inspired Algorithms for Problem Solving." In Bio-Inspired Intelligence for Smart Decision-Making. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5276-2.ch012.

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Nature-inspired algorithms have emerged as powerful tools in the realm of problem-solving in the field of computational intelligence. These algorithms draw inspiration from the nature and apply them to optimization, learning, and decision-making tasks. One prominent example is genetic algorithms (GAs), modeled after the process of natural selection. GAs encode potential solutions to a problem as individuals within a population and use operators like selection, crossover, and mutation to iteratively evolve and refine these solutions over successive generations. This mimicking of evolutionary pr
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Mackenzie, Kenneth D., and Larry E. Pate. "Effective Leadership in Virtual-Like Organizational Arrangements." In Encyclopedia of Human Resources Information Systems. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-883-3.ch039.

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Most studies of leadership focus on leaders who have responsibility for a group of people. This group is usually either an organization or a unit within one. Almost always, the leader is collocated with the “followers” and interacts with them in real time (i.e., synchronized communication). But what about leading when the group lies outside the usual lines of communication set off by the formal organizational structure; when its members are geographically distributed, when they do not belong to the same organization; and when many of the communications are asynchronized, multi-media, over mult
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Mohammadian, M. "Designing Unsupervised Hierarchical Fuzzy Logic Systems." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch210.

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Systems such as robotic systems and systems with large input-output data tend to be difficult to model using mathematical techniques. These systems have typically high dimensionality and have degrees of uncertainty in many parameters. Artificial intelligence techniques such as neural networks, fuzzy logic, genetic algorithms and evolutionary algorithms have created new opportunities to solve complex systems. Application of fuzzy logic [Bai, Y., Zhuang H. and Wang, D. (2006)] in particular, to model and solve industrial problems is now wide spread and has universal acceptance. Fuzzy modelling o
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Conference papers on the topic "Mutation over operator"

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Voß, Christian, Marcel Aulich, Burak Kaplan, and Eberhard Nicke. "Automated Multiobjective Optimisation in Axial Compressor Blade Design." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90420.

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This paper presents an automated multiobjective design methodology for the aerodynamic optimisation of turbomachinery blades. In this approach several operating-points of the compressor are considered and the flow-characteristics of the different flow-solutions are combined to one or more objective functions. The optimisation strategy is based on multiobjective asynchronous evolutionary algorithms (MOEA’S) which are accelerated using additive local neural networks and kriging procedures. Common operators: Mutation, Crossover and Differential-Evolution are used to create a new population. In ad
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Ivanchik, Elizaveta, and Alexander Hvatov. "Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators." In 2023 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2023. http://dx.doi.org/10.1109/cec53210.2023.10254047.

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"Case series: Breast and ovarian cancer syndrome." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685364.

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Aims and Objectives: To report a series of cases with breast and ovarian carcinomas either in same patient or in a family and identifying the importance of BRCA 1, 2 genetic testing in such individuals. Materials and Methods: The medical records of breast and ovarian cancer patients operated over past 3 years at a single institute were reviewed retrospectively and their clinical profile, family history, final pathological reports and follow up data was collected. Results: 8 patients were found to have breast and ovarian malignancies, out of which 3 had synchronous breast and ovarian cancers, 4
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"Case series: Breast and ovarian cancer syndrome." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685348.

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Aims and Objectives: To report a series of cases with breast and ovarian carcinomas either in same patient or in a family and identifying the importance of BRCA 1,2 genetic testing in such individuals. Materials and Methods: The medical records of breast and ovarian cancer patients operated over past 3 years at a single institute were reviewed retrospectively and their clinical profile, family history, final pathological reports and follow up data was collected. Results: 8 patients were found to have breast and ovarian malignancies, out of which 3 had synchronous breast and ovarian cancers, 4
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Zahid, Taiba, and Aamer A. Baqai. "Multi-Criteria Optimization of Process Plans for Reconfigirable Manufacturing Systems: An Evolutionary Approach." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64560.

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Production systems have developed over the years due to changing environment, external and internal drivers and conditions like new technologies, developed products and customer needs. These needs were the main drivers for integrated and evolved manufacturing systems which can be more responsive and customer focused. Prototypes of manufacturing industries which have been recently introduced as flexible and reconfigurable manufacturing systems are responding to these recent needs in peculiar ways focusing not only on product design level but also on integrated manufacturing systems and process
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Hertanu, Codrinleonard. "THE FUTURE JOBS DEVELOPMENT WITHIN DISRUPTIVE TECHNOLOGIES EVOLUTION AND ORGANIZATIONAL CULTURE CHANGE." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-177.

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The contemporary world changes rhythm has reached an unparalleled level, mostly triggered by the conversion of 'technology advance' into 'technology changeover'. Both the disruptive technologies evolution and the metamorphosis given by globalization to the organizational culture have brought many challenges for the future professions development. The prognoses regarding future have represented a constant concern for different social categories over the mankind history. In the contemporary world the forecast of the future is performed in order to meet the growing needs of both the public and pr
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Reports on the topic "Mutation over operator"

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Chamovitz, Daniel, and Albrecht Von Arnim. Translational regulation and light signal transduction in plants: the link between eIF3 and the COP9 signalosome. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7696515.bard.

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The COP9 signalosome (CSN) is an eight-subunit protein complex that is highly conserved among eukaryotes. Genetic analysis of the signalosome in the plant model species Arabidopsis thaliana has shown that the signalosome is a repressor of light dependent seedling development as mutant Arabidopsis seedlings that lack this complex develop in complete darkness as if exposed to light. These mutant plants die following the seedling stage, even when exposed to light, indicating that the COP9 signalosome also has a central role in the regulation of normal photomorphogenic development. The biochemical
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