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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, steady-state selection with varying generation gap, a simple model of Eshelman's CHC algorithm ...
Rogers, A., Prügel-Bennett, A.
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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, Jin-Seon Lee, Byung-Ro Moon
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A Thermodynamical Selection Rule in the Genetic Algorithm
Transactions of the Institute of Systems, Control and Information Engineers, 1996 The genetic algorithm (GA), an optimization technique based on evolution, suffers often from a phenomenon called the premature convergence. That is, the system often loses the diversity of the population at an early stage of searching. In this paper, the authors propose a novel method called the ThermoDynamical Genetic Algorithm (TDGA), which adopts ...
Naoki Mori +3 more
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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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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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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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Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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Anisotropic selection in cellular genetic algorithms [PDF]
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure. First we compare this new scheme with the classical rectangular grid shapes solution according to the selective pressure: we can obtain the same takeover time with ...
Simoncini, David +3 more
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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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