Results 21 to 30 of about 586,435 (341)

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, Kaplan, Barıs, Bingol, Befrin Neval   +2 more
openaire   +1 more source

Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]

, 2012
A limitation in traditional stepwise population pharmacokinetic model building is the difficulty in handling interactions between model components. To address this issue, a method was previously introduced which couples NONMEM parameter estimation and ...
Belani, Chandra P, Bies, Robert R, Egorin, Merrill J, Ivy, Percy S, Lieberman, Jeffrey A, Manuck, Stephen B, Marder, Stephen R, Muldoon, Matthew F, Pollock, Bruce G, Sale, Mark E, Scher, Howard I, Sherer, Eric A, Solit, David B   +12 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 Conference
This 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
doaj   +1 more source

Genetic learning particle swarm optimization [PDF]

, 2016
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung, Gong, Yue-Jiao, Li, Jing-Jing, Li, Yun, Shi, Yu-Hui, Zhang, Jun, Zhou, Yicong   +6 more
core   +2 more sources

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.
openaire   +2 more sources

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, JING Bo2, NIU Shao-zhang1, YANG Yi-xian1   +3 more
doaj   +2 more sources

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, Koroush Eshghi   +1 more
doaj  

Development and validation of different chemometric-assisted spectrophotometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product

Future Journal of Pharmaceutical Sciences, 2018
This work, introduces different powerful chemometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product without prior separation steps, dubbed; Principal component regression, Partial least squares with ...
Khalid Abdel-Salam M. Attia, Omar Abdel-Aziz, Nancy Magdy, Ghada F. Mohamed   +3 more
doaj   +1 more source

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
doaj   +1 more source

A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection [PDF]

, 2015
This paper proposes a new Lexicographic multi-objective Genetic Algorithm for Multi-Label Correlation-based Feature Selection (LexGA-ML-CFS), which is an extension of the previous single-objective Genetic Algorithm for Multi-label Correlation-based ...
Freitas, Alex A., Jungjit, Suwimol
core   +1 more source