PDGA: The primal-dual genetic algorithm [PDF]
Copyright @ 2003 IOS PressGenetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the performance of GAs.
Yang, S
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A resource aware distributed LSI algorithm for scalable information retrieval [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval fields.
Liu, Yang
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Improved adaptive genetic algorithm for the vehicle insurance fraud identification model based on a BP neural network [PDF]
With the development of the insurance industry, insurance fraud is increasing rapidly. The existence of insurance fraud considerably hinders the development of the insurance industry.
Yan, C., Liu, W., Qi, M., Li, M.
core +1 more source
The integration of energy storage facilities into existing structures will result in increased costs. Therefore, it is of great significance to optimize the configuration of integrated power systems with multienergy flows to reduce the cost of the ...
Zekun Wang +6 more
doaj +1 more source
Grid-based GA path planning with improved cost function for an over-actuated hover-capable AUV [PDF]
For an AUV to perform a long-range mission with its maximum endurance, its energy consumption during transit must be kept to a minimum. This paper presents an improved cost function for a grid-based genetic algorithm (GA) path planning in 2D static ...
Philip A. Wilson +10 more
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A Novel Genetic Operator for Genetic Folding Algorithm: A Refolding Operator and A New Genotype [PDF]
Genetic Folding algorithm uses linear chromosomes composed of organized genes in floating-numbers manner in which each genes chain fold back on themselves to form the final GF chromosome. In this paper, a novel genotype representation and a novel genetic
Mohammd A. Mezher +4 more
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An Improved NSGA-III Algorithm Using Genetic K-Means Clustering Algorithm
The non-dominated sorting genetic algorithm III (NSGA-III) has recently been proposed to solve many-objective optimization problems (MaOPs). While this algorithm achieves good diversity, its convergence is unsatisfactory.
Qingguo Liu +3 more
doaj +1 more source
Adversarial Example Generation Method Based on Improved Genetic Algorithm [PDF]
The adversarial example is an effective tool to evaluate the security and robustness of a model.Conducting antagonism training on the model can effectively improve the model's security.The mainstream classification methods divide the existing ...
BAI Zhixu, WANG Hengjun
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Improved genetic algorithm for job shop scheduling
In order to obtain the optimal solution of genetic algorithm for job shop scheduling problem and improve the iteration speed of the algorithm, the improved method of genetic algorithm is studied.
Xianpeng ZHENG, Lei WANG
doaj +1 more source
Safety Production Management of Hazardous Chemical Products Based on Optimized Genetic Algorithm
The improvement of genetic algorithm and its application in Hazardous chemical production are discussed in order to improve the production efficiency of Hazardous chemical industry. The genetic algorithm is improved by using ASPEN method.
Meiyan Du
doaj +1 more source

