Bayesian Model Selection in Complex Linear Systems, as Illustrated in Genetic Association Studies [PDF]
, 2013 Motivated by examples from genetic association studies, this paper considers the model selection problem in a general complex linear model system and in a Bayesian framework.
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Subcontractor Selection using Genetic Algorithm
Procedia Engineering, 2015 AbstractIn the construction industry, subcontracting is a very common practice. Nowadays, most of the general contractors tend to sublet the large portions of construction works to subcontractors and they only act as construction management agencies. In other words, while subcontractors carry out the actual production work, general contractors organize
Polat, Gul +2 more
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Genetic algorithm feature selection resilient to increasing amounts of data imputation
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. Feature selection can be beneficial in predictive modeling to reduce computational costs and potentially ...
Maryam Kebari, Annie S Wu
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Inbreeding management and optimization of genetic gain with phenotypic and genomic selection in oil palm (Elaeis guineensis)[W776] [PDF]
, 2020 Oil palm breeding relies on reciprocal recurrent selection between two heterotic groups complementary for bunch number and average bunch weight. Given the long generation interval and the limited selection intensity imposed by the progeny tests currently
Cros, David +2 more
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Comparison of a Greedy Selection Operator to Tournament Selection and a Hill Climber [PDF]
, 2011 A new deterministic greedy genetic algorithm selection operator with very high selection pressure, dubbed the Jugate Adaptive Method is examined.
Borbone, John, Graham, Lee, Parker, Gary
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Boosting Genetic Algorithms with Self-Adaptive Selection [PDF]
2006 IEEE International Conference on Evolutionary Computation, 2006 In this paper we evaluate a new approach to selection in genetic algorithms (GAs). The basis of our approach is that the selection pressure is not a superimposed parameter defined by the user or some Boltzmann mechanism. Rather, it is an aggregated parameter that is determined collectively by the individuals in the population. We implement this idea in
Eiben, A.E., Schut, M.C., de Wilde, A.R.
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Model for virtual corporations partner selection based on adaptive genetic algorithm
Tongxin xuebao, 2009 To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented.
LI Jian1 +3 more
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Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function
Journal of Control Science and Engineering, 2022 To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA).
Hui Wen
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An experimental comparison of a genetic algorithm and a hill-climber for term selection [PDF]
, 2010 Purpose – The term selection problem for selecting query terms in information filtering and routing has been investigated using hill-climbers of various kinds, largely through the Okapi experiments in the TREC series of conferences.
MacFarlane, A. +3 more
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Application of Genetic Algorithm in Portfolio Selection Problem [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2004 One of the classical applications of operation research in investment decision making is the portfolio selection problem. In this problem a fixed sum of money is to be spread among different investments and there is a risk associated with the rate of ...
Simin Abdolalizadeh Shahir +1 more
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