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Genetic Drift in Genetic Algorithm Selection Schemes [PDF]
IEEE Transactions on Evolutionary Computation, 1999 A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection,
Prügel-Bennett, A., Rogers, A.
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Genetic Algorithm Based Feature Selection Technique for Electroencephalography Data [PDF]
Applied Computer Systems, 2019 High dimensionality is a well-known problem that has a huge number of highlights in the data, yet none is helpful for a particular data mining task undertaking, for example, classification and grouping. Therefore, selection of features is used frequently
Ali Tariq +2 more
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Modified Floating Search Feature Selection Based on Genetic Algorithm [PDF]
MATEC Web of Conferences, 2018 Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
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Mathematics, 2021 Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee +3 more
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Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm
Shanghai Jiaotong Daxue xuebao, 2021 Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed.
LI Cuiming, WANG Ning, ZHANG Chen
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Complexity, 2021 This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network ...
Weiwei Xiao
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Hybrid genetic algorithms for feature selection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared.
Il-Seok, Oh +2 more
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Re-inspiring the genetic algorithm with multi-level selection theory: multi-level selection genetic algorithm [PDF]
Bioinspiration & Biomimetics, 2018 Genetic algorithms are integral to a range of applications. They utilise Darwin's theory of evolution to find optimal solutions in large complex spaces such as engineering, to visualise the design space, artificial intelligence, for pattern classification, and financial modelling, improving predictions.
A J Sobey, P A Grudniewski
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Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast
Frontiers in Energy Research, 2022 The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity prices, geographical ...
Zoran Janković +4 more
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CONSTRAINED PORTFOLIO SELECTION OPTIMIZATION USING CALIBRATED GENETIC ALGORITHM [PDF]
مجله مدل سازی در مهندسی, 2014 Portfolios are a proper collection of investments choosing by an organization or a person. Hence portfolio optimization is a very prominent problem by optimizing which we can attain more profit with the less risk.
ali naimi sadigh +1 more
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